Fullstack Engineer with 2+ years in AI Integration & Python Development
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Full-stack software engineer with 2+ years of experience building Python-based automation platforms, integrating LLMs into enterprise workflows, and delivering high-quality solutions across the complete software development lifecycle. Hands-on expertise in RAG pipelines, agentic AI frameworks, and multi-agent orchestration with demonstrated ability to deploy LLM-driven systems in compliance-sensitive, regulated domains. Strong risk-and-control mindset with experience designing data-controlled, auditable, and traceable AI pipelines. Eager to leverage AI and software engineering expertise.
KPIT Technologies
Software Engineer
September 1, 2024 – Present
Pune, Maharashtra, India
KPIT Technologies
Software Engineering Intern
December 1, 2023 – August 1, 2024
Pune, Maharashtra, India
ComplianceAce
January 1, 2025 – December 31, 2025
Architected and delivered a production-quality LLM + RAG pipeline in Python to automate test case generation, traceability mapping, and compliance validation from medical Software Requirement Specifications - demonstrating real-world LLM deployment in a regulated, compliance-sensitive domain directly analogous to MRGR's model governance workflows. Designed the system with full auditability and requirement traceability as first-class concerns – every generated test case was traceable to a source requirement, mirroring the data controls and governance rigor JPMorgan Chase's MRGR team requires of its analytics solutions. Implemented modular, clean architecture separating ingestion, retrieval, generation, and validation layers with comprehensive pytest-based unit and integration tests, ensuring pipeline correctness and maintainability at each stage.
AutoMed Multi-Agent Healthcare Intelligence Platform
January 1, 2025 – December 31, 2025
Built a multi-agent AI system using AutoGen/AG2 with specialized agents for symptom analysis, treatment recommendations, and real-time data retrieval – demonstrating hands-on experience architecting agentic AI workflows with inter-agent orchestration, context management, and structured decision pipelines. Designed an intelligent orchestration layer managing agent collaboration, context handoff, and response synthesis – directly applicable to MRGR's objective of building intelligent solutions to support model reviewer activities and governance workflows.
Top 10 Finalist - Hackoverflow Hackathon (200+ teams)
Hackoverflow Hackathon
June 1, 2026 – Present
A-Grade Certification Modern C++ and OpenCV training
KPIT Technologies
June 1, 2026 – Present
Finalist Google Cloud Gen AI Hackathon 2025
Google Cloud
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including LLM-driven compliance automation and multi-agent healthcare platforms, demonstrates a broad interest in applying AI to various complex domains. The experience at KPIT Technologies, a large IT consulting firm, suggests adaptability to different project requirements and team structures. The focus on data controls, auditability, and compliance in projects aligns well with the rigorous environment of a financial institution like JPMorgan Chase and the specific needs of an MRGR team. The hackathon achievements also indicate a proactive and innovative spirit.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with cross-functional teams and a focus on operational objectives, indicating good team collaboration and problem-solving skills. The emphasis on auditability and traceability suggests a detail-oriented and responsible approach to software development, crucial for regulated environments. The experience in building automation tools also points to a proactive mindset for efficiency improvements.