As a Specialist Programmer at Infosys, I build end‑to‑end web platforms that combine modern full‑stack development with applied AI/ML to solve real business problems at scale. My recent work includes integrating automated penetration testing and security checks directly into development workflows, and developing intelligent resume‑parsing and candidate‑ranking systems that make hiring faster and more data‑driven. I work primarily with Node.js, Express, MongoDB, React, and Python, and enjoy designing clean APIs, resilient architectures, and CI/CD pipelines that keep releases fast and reliable. On the AI side, I experiment with NLP models, embeddings, and RAG workflows to add features like smart search, chatbot assistants, and automated document understanding into existing products. Security, performance, and developer experience are core to how I approach engineering. I like diving deep into debugging, profiling, and threat modeling, and I’m always looking for ways to automate repetitive tasks so teams can focus on building new capabilities. Outside of project work, I explore new tools in DevOps and generative AI, contribute to internal knowledge sharing, and mentor peers on writing maintainable code and thinking with a security‑first mindset. I am always open to connecting with engineers, security enthusiasts, and product teams interested in building reliable, intelligent systems.
Infosys Ltd.
Pune
Engineered AI-driven delivery pipelines using Exponential Engineering (EE) methodology with agentic orchestration and RAG retrieval, accelerating SDLC by 70%. Contributed to the Fabric Project by building multi-agent orchestration and contextual knowledge graphs for real-time traceability and human-AI collaboration.. Enhanced AI maturity to Level 4 (“Agentic Workflows”) with telemetry-based CI/CD and self-evaluating agents. Built and tuned AI agent chains (CodeGen, Static Analyzer, Risk Lens, Test Designer) to enable autonomous Define→ Do→ Test→ Learn delivery cycles. Tools & Languages: Python, FastAPI, LangChain, OpenAI API, Scikit-learn, Vector DB (FAISS/Pinecone), React.js, Nest.js, Node.js, Docker, Kubernetes, Neo4j, RAG Pipelines, .NET, PostgreSQL, MongoDB, MySQL.
Wisematic Inc.
Engineered backend architecture for Wisematic’s site and Admin dashboard, enabling synchronous data rendering. Implemented Winston-based logging, Two-Factor Authentication (2FA) for Admin / Superadmin roles and integrated PKCE authentication flow. Built an automated Resume Parsing System for the Career section to streamline applicant data extraction. Tools & Languages: React.js, Node.js, Express.js, MongoDB, AWS S3, JWT, REST APIs, Postman, Winston.
Indian Institute of Information Technology, Vadodara
Gandhinagar
Mentored over 200 students on key Operating System concepts through live demos and practical applications. Conducted one-on-one sessions on process management, memory allocation, and synchronization. Tools & Topics: VirtualBox, Process Scheduling, Deadlocks, Paging, File Systems.
Bachelor of Technology
CPI: 7.5
Implemented JWT authentication with role-based access control, eliminating unauthorized access attempts by 100%. Configured MongoDB Atlas with environment-based setup, ensuring 99.9% uptime. Managed 10+ middlewares for logging, error handling, and authentication. Tools & Languages: Node.js, Express.js, MongoDB, AWS S3, JWT, REST APIs, Postman, shadcn/ui.
Improved order update efficiency by 15% and enhanced communication between users and restaurant owners. Validated authentication with JWT through detailed test scenarios, improving user security by 20%. Performed Stripe API integration tests for secure payments and transaction reliability. Tools & Languages: React.js, Node.js, Express.js, MongoDB, Context API, Bootstrap 5, Stripe, Selenium, Postman.
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Mentored students in web development, guiding them through frontend, backend, UI/UX, and full project optimization.