Senior Software Developer with 3+ years of expertise in full-stack development, enterprise Agentic AI systems, and scalable cloud architectures (AWS/GCP). Currently architecting legacy-to-modern language modernization solutions, parsing 7.5M+ lines of ASM code and extracting lineage for 600,000+ variables.
Key Achievements:
- β‘ Delivered 25% faster BigQuery queries for forecasting 10M+ records
- π Shipped serverless ETL pipelines processing 20M+ records with 99.9% consistency
- π€ Built LLM-powered chatbot reducing legacy lineage tracking from months to <10 seconds
- π Reduced manual analysis time by 60% using RAG systems (LangChain + FAISS)
AI/LLM & Data Engineering
Specialties: RAG, LangGraph, MCP, Agentic AI, FAISS, Pinecone, LLM Evaluation
Databases: PostgreSQL, MySQL, Snowflake, Redis, Neo4j
Remote, India | Feb 2026 β Present
- π§ Engineered custom ASM/C++ parser using Tree-sitter for enterprise Credit Authorization system (IBM z/OS), processing 22,000+ files and 7.5M+ lines of code to capture 600,000+ variables
- π Indexed 50GB+ call graph data, enabling millisecond-level variable lineage tracing from root to terminal
- π€ Deployed LLM-powered chatbot over indexed blueprints, reducing legacy tracking time from months β 10 seconds
- βοΈ Architected testing harness using AI coding agent, establishing rules-extraction framework that accelerated decision-to-implementation cycle from months β days
Noida, India | Nov 2024 β Jan 2026
- π Reworked Dow Jones FAST Tool engine by moving forecasting logic into database stored procedures; lowered query latency by 25% and heap memory usage by 40% for 10M+ records
- β‘ Designed serverless ETL pipeline with AWS Glue and Lambda to process 20M+ records from Parquet; maintained 99.9% data consistency
- π Assembled internal RAG system (LangChain + FAISS) for decision support; trimmed manual analysis time by 60%
- π Drove KeyBank and ADP delivery by handling P1 incidents, dropping client-reported bugs by 15%
- π¨βπ« Mentored 10+ engineers on Java/Linux practices, improving new-hire onboarding time by 30%
Noida, India | Jul 2023 β Nov 2024
- π Orchestrated Apigee API Gateway integration handling 10K+ daily transactions with rate limiting and policy controls
- β±οΈ Streamlined ACH payment tracking by hardening secure file processing in Java; compressed report generation from 1 week β 3 hours (85% efficiency gain)
- π Rolled out enterprise SSO (Okta/SAML) with Active Directory, enabling role provisioning for 5,000+ users
- π€ Delivered metadata-driven bulk upload engine with GraphQL APIs, supporting 50K records per batch with real-time validation
- βοΈ Tuned multi-table JOIN queries for lease trigger module; cut execution time by 40% on 5M+ rows
- π Deployed hiring SaaS platform handling 100K+ records; integrated validation engine and shipped React frontend
π± KitnaBanaAI-Powered Financial App for Gig Workers
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π SmartTutorRAG-Powered Learning Platform
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B.Tech in Computer Engineering | Aligarh Muslim University (2019 β 2023)
π CGPA: 9.3/10.0
Certifications:
- β Neo4j Certified Professional (Graph Database & Cypher)

