Tata Consultancy Services
[ACTIVE]AI EngineerNov 2024 → Present
Client: Apple
Noida, IN
AI-Driven Automated Ticket Resolution System
Python- LangGraph
- MCP
- Kafka
FastAPI
Docker
- - Engineered an agentic incident automation platform integrating MCP servers with a real-time Kafka ingestion pipeline processing 10,000+ production tickets daily, with RAG-powered orchestration agents that autonomously analyze and resolve production incidents.
- - Developed specialized AI agents for Splunk log intelligence, anomaly detection, and contextual error summarization, integrating enterprise ITSM ticketing portals for real-time incident ingestion and tracking.
- - Built FastAPI microservices with async endpoints for agent orchestration, health monitoring, and audit logging, containerized via Docker on scalable cloud infrastructure.
- - Implemented a RAG-driven root cause analysis pipeline using historical incident embeddings, semantic retrieval, and structured remediation generation — cutting manual triage effort by 40% and average resolution time from hours to minutes.
AI-Powered Talent Evaluation and Interview Intelligence System
- Python
- CrewAI
- Gemini
- FastAPI
MongoDB
- - Built an agentic resume screening and interview automation platform on CrewAI and Gemini, with autonomous agents for resume parsing, dynamic question generation, and skill-gap analysis, backed by RAG retrieval of JD-specific questions from MongoDB.
- - Implemented a multi-dimensional evaluation framework scoring candidates on correctness, clarity, depth, and relevance using Sentence Transformers for semantic similarity, reaching 87% agreement with human interviewer decisions.
- - Built session management with FastAPI handling 100+ concurrent interviews, MongoDB persistence for conversation history, and sub-2s response latency across all agent interactions.
- - Developed a summary generation agent producing structured hiring reports (strengths, skill gaps, risk factors, recommendations) with automated PDF generation via ReportLab, reducing end-to-end interview processing time by 60%.
