Gurugram, Haryana, India
Xebia is a worldwide, innovative IT Consultancy Company, operating on a global scale
Software Developer, AI/ML (Aug 2022 – May 2026)
- Medical AI Pipeline - Architected compliance-grade Medical AI pipeline generating ₹2+ crores revenue within 3 months by automating data extraction from 10,000+ documents with 95%+ accuracy. Built XParser (enterprise document parser sold at $100K+ per deployment) featuring three-layer AI enrichment (OCR + CV + LLM orchestration). Implemented 200+ crafted prompts with custom version control. Deployed via AWS AppRunner/Lambda with Azure AI Foundry backend.
- XParser - Enterprise Document Intelligence - Engineered enterprise-grade document parser sold at $100K+ per deployment to healthcare clients in USA and Europe. Three-layer AI pipeline (OCR + Computer Vision + LLM orchestration) processing multi-format documents with 95%+ accuracy. Powers medical AI pipeline generating ₹2 crores revenue and integrated across 5+ organizational workflows.
- Knowledge Repository - Designed a company-wide AI repository by processing ~8K SharePoint files into a vector DB for semantic search; optimized related UI.
- Generative AI - Computer Vision - Developed Stable Diffusion-based Virtual Try-On POC for Fortune 500 retail brand enabling AI-generated apparel visualization. Implemented image conditioning and prompt engineering workflows preserving garment attributes (90%+ accuracy) with near real-time previews (<3 seconds).
- Banking AI & ML Systems - Built ML-powered PFM systems for leading UK-based SME lender and India-based retail bank: transaction categorization (92% accuracy, 500K+ monthly txns), NBA recommendations (25% loan uptake increase), fraud detection (30% false positive reduction), and underwriting models (40% faster review time). Developed privacy-preserving GenAI chatbots using pseudoanonymization and Small Language Models (SLMs) for on-premise data privacy.
- Core Banking Infrastructure - Developed Python-based Thought Machine Vault smart contracts for CASA, Mortgages, Loans, and Credit Cards with POS integration. Managed backend systems supporting 10+ client demos. Built Apache Airflow DAG pipelines for document processing workflows with MLflow integration.
- Open Source Contribution - Built Chomper: open-source MCP server parsing 36+ file formats with TOON (Token-Optimized Object Notation) reducing token usage by 40% for LLM processing. Published as open source under the MIT license.
- Other AI/ML - AWS AI workflows, Apache Airflow ingestion pipelines, and Neo4j hackathon data insights.
- Leadership & Mentorship - Mentored engineers in AI/ML workflows and BFSI smart contract development. Conducted technical interviews for Python, Machine Learning, Generative AI, Android, and iOS roles.
Technical Trainee (Oct 2021 - Aug 2022)
- Internal Chatbots - Built conversational AI prototypes using Rasa for organizational workflows.
- Internal Smart Contract Work - Contributed to early Thought Machine (Vault) smart contract development and testing.
- Blockchain-Style Internal PoC - Managed and coordinated an internal proof-of-concept using distributed-ledger principles for background verification use cases.
- Learning & Foundations - Gained hands-on experience in Python, MongoDB, Postman, and API integrations while supporting multiple internal engineering projects.