Tech Lead for AI-Driven Modernization Pilot (12 weeks)

@Microlent

Hello! I understand you need a hands-on Tech Lead to drive an AI-driven modernization pilot, handling legacy system analysis, microservices/API development, and AI-assisted workflows to deliver production-grade services with system parity. I have strong experience modernizing legacy systems into scalable architectures, building APIs and microservices, and actively using AI tools like GitHub Copilot and ChatGPT for code generation, refactoring, testing, and accelerating delivery while maintaining code quality through PR-based workflows. I’m ready to lead end-to-end execution from context extraction and architecture translation to deployment, observability, and validation of AI-generated code in production environments. Regards, Jasmin

@kamran2012

Hi, I will lead delivery of your modernization pilot — extracting context from legacy systems, translating that into production-grade microservices, and validating parity through shadow deployments. I will own the full PR-based workflow for both AI-generated code and manual contributions. For legacy context extraction, I will structure the process by mapping stored procedures and monolith flows into domain boundaries first, then use AI-assisted generation to scaffold services against those boundaries. This prevents the common pitfall where teams generate code without fully understanding legacy behavior — leading to silent parity failures that only surface in production. Looking forward to your response. Best regards, Kamran

@rohitpatidar001

As an AI-driven developer and experienced Tech Lead with a strong background in modern Java-based architectures, I can bring immense value to your ambitious project in a way that very few others can. Over the past nine years, I have established my expertise in building and deploying microservices and APIs, working with legacy systems for modernization, and implementing CI/CD workflows on prominent cloud platforms like AWS. And yes, I've indeed used AI to streamline delivery cycles on real projects. Where I truly excel is in leveraging my knowledge of Intelligent Integrations to bring AI-enabled services into existence while ensuring the robustness and scalability of existing system boundaries. Also as a seasoned user of tools like GitHub Copilot, Claude Code, and ChatGPT, I have experience generating production code, debugging/refactoring through AI assistance, creating test cases using AI tools --skills that are crucial for this project. In addition to my technical capabilities, another area that sets me apart is my deep appreciation for clean architecture and long-term maintainability while offering practical solutions. The more complex the task at hand - be it finance platforms or healthcare services - the more determined I am to simplify it without compromising functionality or innovative potential

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@vishal1145

Your legacy modernization will fail if you extract context manually from stored procedures and monolithic code. At scale, this creates inconsistent API contracts and breaks parity validation between old and new systems. Before we architect the pilot, I need clarity on two things: What's your current deployment frequency for the legacy system (daily, weekly, monthly)? And are you running shadow traffic against production databases or using replicas for parity testing? Here's the execution plan: - AI-ASSISTED REFACTORING: I use Cursor + Claude daily to extract business logic from legacy Java/PHP codebases, generate OpenAPI specs, and scaffold microservices with 70% less manual coding time while maintaining full test coverage. - LEGACY CONTEXT EXTRACTION: I've migrated 4 monoliths by reverse-engineering stored procedures into domain models, then using AI to generate equivalent REST endpoints with automated regression tests that catch behavioral drift. - SHADOW DEPLOYMENT + PARITY: I set up traffic mirroring in AWS using ALB rules and Lambda comparators to validate response parity at 99.9% accuracy before cutover, with Datadog dashboards tracking latency deltas in real-time. - PR-BASED AI WORKFLOWS: I've shipped production features where 60% of code was AI-generated, but I enforce strict review gates - every AI output gets unit tests, security scans, and manual validation for edge cases the model missed. - CI/CD + OBSERVABILITY: I build GitHub Actions pipelines that auto-deploy to ECS, with Prometheus metrics feeding back into the AI context for iterative refinement of generated services. I've led 3 modernization projects where AI cut delivery time by 50% but only because I knew when to override the model. Let's schedule a 20-minute call to walk through your legacy architecture and define success metrics for the pilot before we start generating code.

@TechizeBuilder

Hi, I came across your project "Tech Lead for AI-Driven Modernization Pilot" and I'm confident I can help you with it. About Me: I'm a agency owner with over 8+ years of experience in PHP, API Development, Linux, Amazon Web Services. , and I understand exactly what’s needed to deliver high-quality results on time. Why Choose Me? - ✅ Expertise in required Technologies and 1 year post deployment free support - ✅ On-time delivery and excellent communication - ✅ 100% satisfaction guarantee Let’s discuss your project in more detail. I’m available to start immediately and would love to hear more about your goals. Looking forward to working with you! Best regards, Deepak

@ashinnd84

Hello there, we are a team of developers and we can do this project in no time. Thanks Ashish Kumar.

@souvikbasu

Shadow deployments + parity validation as a first-class requirement tells me you've been burned by modernization that looked good in staging and fell apart in prod. My approach for the pilot: • Legacy extraction: map existing flows using AI-assisted code analysis (Claude + Cursor), document stored procedures and integration points before touching anything • Service delivery: generate microservice stubs via AI, validate against legacy behaviour using shadow traffic + diff testing • PR workflow: every AI-generated output goes through rigorous code review — I treat generated code with the same scrutiny as hand-written code • Observability from day 1: Datadog/Prometheus instrumentation wired in before first deployment, not retrofitted later I use Claude Code and Cursor daily in production — not to replace thinking, but to dramatically accelerate delivery on messy legacy codebases where context is the bottleneck. One question: are the 1–3 modernization flows already scoped, or is part of the pilot deciding which flows to tackle first? Ready to kick off this week.

@CyberSasu

As an experienced Tech Lead, I have successfully led numerous modernization and refactoring projects, particularly focused on legacy systems. I'm no stranger to the complexities that come with it such as stored procedures and monoliths - putting me in a prime position to tackle the nuances of your project. My proficiency in backend languages like Java and Node.js combined with API knowledge in REST and GraphQL will help me translate architecture into efficient working services. Notably, what sets me apart is my continued use of AI-assisted development tools like GitHub Copilot for generating code, debugging, refactoring, and even creating test cases. I don't just sit back and watch— I'm comfortable reviewing and validating AI-generated code to ensure its accuracy. Placing observability and feedback loop mechanisms at a high priority keeping logs, metrics, iterations using ELK+Prometheus setup won't be a problem alongside my cloud experience on AWS possible for setting up shadow deployments and parity validation. Overall, my proficiency across different aspects of the stack including familiarity with databases will equip me to effectively lead this AI-Driven Modernization Pilot with minimal hand-holding - delivering production ready services without compromising quality.

@logiclast

Hi, I have the exact skills and experience you are asking for. I am modernizing 30-35 years legacy application written in c. I have good command on github copilot, its cli, lot of development workflow automation, jira automation, pr and pr fixes automation. Basically bounded AI to work in disciplined manner. I trust opus 4.6 and 4.7 for this. Regards, Vimal Patel I can show you all above and I am sure you will hire me.

@Appworldz

Hi, Sahanaj here. I’ve led AI-assisted modernization on legacy systems (monolith → microservices) using PR-driven workflows, Copilot/ChatGPT for code + tests, and observability via Datadog / ELK. Your budget is slightly tight; realistic is ₹2.5–3.5L. I can deliver a focused pilot at ₹2.4L over 4–5 weeks (2–3 flows, shadow deploy, parity validation). You’ll get production-grade APIs, CI/CD, and measurable improvement loops. I focus on safe, incremental modernization. One question: which legacy stack are we modernizing (Java/.NET/Node + DB type)?

@himanshus642

I work as an individual contributor (no agency), and this role fits exactly how I deliver — combining architecture, hands-on coding, and AI-driven workflows. Experience: * Built and deployed microservices/APIs in production (Node.js/Python) * Modernized legacy systems (monoliths, stored procedures, complex DB logic) * Strong with AWS, CI/CD, PR workflows, and code reviews * Daily use of Copilot, Cursor, ChatGPT, Claude for code, tests, and debugging Approach: Modernization * Extract context from legacy code + DB flows * Break into clean, modular services with clear APIs * Ensure parity via shadow deployments before switching AI Workflow * Use AI for code generation, refactoring, and test creation * Strict validation + human review of all outputs * Build feedback loops to improve accuracy over time Delivery * PR-based workflow with clean commits * Observability (logs, metrics, alerts) from day one * Close collaboration with infra/security for deployment Tech Node.js / Python, REST/GraphQL, SQL/NoSQL, AWS, Docker, CI/CD I focus on shipping production-grade systems with reliability and measurable outcomes. Happy to share relevant work and walk through my approach.

@abdf2010

Hello, I am interested in your project, Tech Lead for AI-Driven Modernization Pilot project. I've successfully completed projects involving PHP, Java, Linux before. Happy to discuss the details whenever works for you.

@KarthikTechCon

Hi, I’m Karthik, an individual freelancer with 15+ years of experience in enterprise architecture, backend engineering, cloud, DevOps, and modernization of legacy systems. I have led multiple modernization and refactoring projects involving monolith-to-microservice transitions, API development, database redesign, CI/CD, observability, and cloud deployments across AWS and Azure. I actively use AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, and Claude for production code generation, debugging, refactoring, test creation, documentation, and parity validation workflows. My experience includes: * Legacy modernization of .NET, Java, and Node.js systems * Building APIs, microservices, and integration layers * Extracting context from legacy codebases, databases, and workflows * PR-based workflows, Git branching, code reviews, and CI/CD pipelines * Cloud deployments on AWS and Azure * Observability using Grafana, Prometheus, Datadog, and ELK * Shadow deployments, parity testing, and production rollout support I am comfortable working hands-on across architecture, backend, DevOps, and AI-assisted delivery during the full 12-week engagement. Warm Regards, Karthik B

@zain556

Hi there, This role aligns perfectly with my workflow. I don’t just use AI for chat; I integrate Cursor, Claude Code, and custom RAG workflows to handle legacy extraction and high-velocity delivery. How I’ll Drive the Pilot: Legacy Context: I use LLMs to map "messy" systems—deciphering stored procedures and monolithic flows—to build structured context for new microservices. AI-Assisted Delivery: I apply rigorous PR-based reviews to AI-generated code, using AI to build unit tests that ensure strict parity with existing systems. Deployment & Parity: Experienced in setting up shadow deployments and using observability tools (Datadog/ELK) to validate parity before cutover. Technical Profile: AI Tools: Daily use of Cursor and GitHub Copilot for refactoring and debugging. Stack: Expert in Node.js, APIs (REST/GraphQL), and SQL/NoSQL. Infrastructure: Hands-on with AWS/Azure, CI/CD pipelines, and secure deployments. Modernization: Proven track record of refactoring monoliths into high-performance, modular architectures. I am an individual freelancer and can take full ownership of your 1–3 pilot flows, proving that AI-driven modernization can be both faster and more secure. Looking forward to discussing your architecture. Best regards, Zain Hassan Software Architect & Tech Lead

@mail2sajju262

Hi, I have solid experience working on lcloud , legacy system modernization, APIs/microservices, and AI-assisted development. I focus on building reliable, production-ready services while keeping things simple and practical. What I bring Experience breaking down monoliths and DB-heavy systems into modern services Daily use of GitHub Copilot, ChatGPT, and Claude for coding, debugging, and test creation Strong hands-on with CI/CD, PR workflows, and cloud (AWS/GCP) Worked on shadow deployments, parity checks, and monitoring setups How I’ll approach this Understand your current system Build 1–3 key use cases using AI-assisted development Ensure smooth rollout with proper validation and monitoring

@mohammedj95

Hi There, I’ve reviewed your requirement for a Tech Lead focused on AI-driven modernization, and this aligns closely with my hands-on experience. With 12+ years in full-stack development, I’ve built and modernized production systems using microservices, APIs, and cloud infrastructure. I actively use AI tools like ChatGPT/Copilot for code generation, refactoring, debugging, and accelerating delivery. Relevant Experience: ✔ Microservices & API development (Node.js/Python) ✔ Legacy system modernization & refactoring ✔ CI/CD pipelines + AWS deployment ✔ PR-based workflows, code reviews & branching strategies ✔ AI-assisted development (code generation, testing, optimization) Approach: Extract legacy context → rebuild services with parity → validate via shadow deployment → optimize with observability & feedback loops I’m comfortable working across architecture, infra teams, and delivering production-ready systems. Available to start immediately. Regards, Mohammad. J

@somendersingh96

Hello, I can lead your AI-driven modernization pilot end-to-end, combining hands-on engineering with real AI-assisted workflows. Approach • Break legacy system into modular services (APIs/microservices) • Extract context (code, DB, flows) → refactor with AI-assisted tools • Implement shadow deployments + parity validation • Set up CI/CD, observability, and feedback loops AI Workflow (Daily Use) • GitHub Copilot / ChatGPT / Cursor for: – Code generation & refactoring – Debugging legacy systems – Test case generation – PR review & validation Stack Experience • Backend: Node.js / Java • Cloud: AWS / Azure • CI/CD: GitHub Actions / Jenkins • Observability: ELK / Grafana • Strong SQL + system design Deliverables • Production-ready services (1–3 flows) • Clean PR-based workflow • Shadow deployment + parity reports • Documentation + handover Experienced with legacy modernization + AI-assisted delivery, focused on speed without compromising quality. Ready to start. Best regards, Somender Singh

@fabianofff

Tech Lead for a 12-week AI modernization pilot — exactly the role I thrive in. I lead architecture, hands-on implementation, and team mentoring. For your AI-driven modernization pilot I will deliver: 1. Week 1-2: Discovery + current-state assessment + modernization roadmap 2. Week 3-6: Architecture design + rapid prototypes of highest-impact AI components (agents, RAG, automation) 3. Week 7-10: Production build with clean DevOps (Docker, CI/CD, observability) 4. Week 11-12: Hardening, security review, handover, and team training 5. Weekly syncs, written status reports, and clear decisions documented 6. Stack flexibility: Python/Node, OpenAI/Claude/local models, Kubernetes, vector DBs Senior tech lead with production AI rollouts across fintech, health, and e-commerce. Ready to start within 1 week. What is the legacy system being modernized and the target business outcome?