ojas@portfolio~/about
$whoami
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Role: AI Engineer
$cat about.txt
$ls skills/
PythonLangGraph
LangChain
CrewAI
FastAPI
PyTorch
Docker
Kubernetes
AWS
MongoDB
PostgreSQL
DuckDBKafka
Git
Linux$cat links.txt
$cat experience.json | jq
Tata Consultancy Services[ACTIVE]
AI EngineerNov 2024 → Present
🏢 Client: Apple
📍 Noida, IN
▸ AI-Driven Automated Ticket Resolution System
PythonLangGraph
MCP
Kafka
FastAPIDocker- - 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
PythonCrewAI
Gemini
FastAPIMongoDB- - 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%.
$ls -la projects/
▸ Hashnode Publishing Pipeline↗
Python
GitHub Actions
GraphQL- - Built a Git-based publishing workflow that turns a plain repository into a Hashnode CMS — writing a post is a git push, with no dashboard in the loop.
- - A GitHub Actions job diffs each push for changed markdown under posts/, parses YAML frontmatter for title and tags, and publishes through Hashnode's GraphQL API by creating a draft and then publishing it.
- - Persisted post IDs in a mapping file so re-pushing an edited file updates the live post in place instead of publishing a duplicate.
▸ Enterprise Secure Multi-Tenant RAG Assistant
PythonLangChain
FastAPIDocker- - Architected a secure multi-tenant Agentic RAG platform with RBAC-driven document-level authorization, metadata-aware retrieval, and enterprise-grade knowledge isolation across dynamic document repositories.
- - Engineered scalable LLMOps pipelines for automated document ingestion, chunking, embedding orchestration, and hybrid semantic retrieval leveraging vector databases, reranking, and real-time synchronization workflows.
- - Integrated open-source LLMs with citation-grounded generation, conversational memory, audit telemetry, and high-throughput FastAPI-based inference orchestration for production-scale enterprise AI assistants.
$cat education.txt
Thapar Institute of Engineering and Technology
B.E. Computer EngineeringAug 2020 → July 2024
📍 Punjab, IN
🎓 CGPA: 7.90
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