Experience

Sr. Software Development Manager

Traversia Technologies Pvt. Ltd.

  • Architected Crux — high-concurrency API aggregator for 50+ hotel, DMC, and payment providers handling 1M+ daily requests at 99.9% uptime.
  • Deployed hybrid search & RAG pipelines with sub-200ms retrieval latency for enterprise partners.
  • Raised CI/CD and automated testing standards; reduced critical production bugs by 25%.
  • Partnered with B2B clients to translate operational pain points into scalable architectures; onboarding +40%.
Crux API Agentic AI RAG Go Node.js / TS AWS / Kubernetes

Head of Engineering

Easyres Travel Technologies

  • Led 0→1 engineering for a B2B/B2C holiday platform scaled to 100K+ concurrent users.
  • Cut client infrastructure costs 50% via AWS/Azure optimization and pipeline refactoring.
  • Defined Hotels and Holidays product roadmaps with stakeholders via iterative prototyping.
  • Mentored teams; sprint delivery velocity +30%.
Node.js TypeScript AWS Azure Leadership

Lead Developer (Frontend)

Easyres Travel Technologies

  • Led MEAN stack frontend delivery; page load times −30% through prototyping with B2B clients.
MEAN Angular JavaScript UI/UX

Lead Software Developer

Geoinsighter

  • Built GIS pipelines ingesting 2,000+ high-res images per batch into 3D terrain models.
  • Distributed batch processing for 500+ concurrent mapping requests at 99.9% uptime.
Python GIS Distributed Systems

Software Development Engineer

Geoinsighter

  • Built Geo Mapper — real-time orthophoto visualization with live video and Google Maps API.
JavaScript Google Maps API GIS

Founder

MinedeniM

  • Owned 0→1 product lifecycle from market validation through full-stack execution and beta users.
Product Full-Stack 0→1

Selected projects

Travel Professor: Agentic Booking Concierge

Autonomous travel agent on Crux with multi-step reasoning for hotel discovery and itineraries. Custom MCP server bridging live B2B APIs to LLMs.

Agentic AI MCP LangChain Python Go pgvector

Adaptive Exam Engine & AI Grader

Mock-ETS adaptive testing with GraphRAG syllabus maps and a DSPy-compiled AWA grader aligned to 6-point rubrics.

DSPy GraphRAG vLLM Node.js

LLM Evaluation & Factuality Pipeline

CI/CD-integrated evals for document agents — Context Precision, Faithfulness, LLM-as-judge rubrics, and merge gates on regressions.

AI Evals PromptFoo RAGAS DeepEval GitHub Actions

Tracebench: Agent Trajectory Evals

Local-first harness for tool-using agents — golden traces, permission violations, and task-success scoring as offline evals.

AI Evals Agent traces LLM-as-judge Python

Forge: Parallel Eval Runner (Rust)

High-throughput JSONL eval runner with bounded concurrency, deterministic replay, and CI-friendly exit codes.

Rust AI Evals Tokio CLI

Beacon: Live Eval Ops (Elixir)

Phoenix LiveView console for eval runs — OTP supervisors per job, PubSub progress, and a failure-review queue.

Elixir Phoenix LiveView OTP AI Evals

Crux API Layer

50+ provider aggregator for hotels, DMCs, and payments — 1M+ daily requests, sub-200ms hybrid search & RAG, 99.9% uptime.

Go Node.js AWS Microservices

Skills

AI & Agentic Systems

Agentic AI & MCP · GraphRAG & RAG · DSPy · vLLM / LangChain / LlamaIndex · AI Evals (PromptFoo, RAGAS, DeepEval, LLM-as-judge) · Agent traces & CI quality gates · LLMs (Claude, GPT-4, Gemini, Bedrock)

Backend & Languages

Node.js / TypeScript · Python · Go · Rust · Elixir / OTP / Phoenix · Java · SQL · Microservices

Cloud & Infra

AWS · Azure · Docker · Kubernetes · CI/CD · IAM / Security

Data

PostgreSQL / pgvector · MongoDB · Hybrid Search · GIS Pipelines

Education

  • Chief Technology Officer Programme Indian Institute of Technology Delhi (IIT-D)
  • Executive Programme in Product Management Indian School of Business (ISB)
  • B.Tech in Computer Science & Engineering Bharati Vidyapeeth College of Engineering, New Delhi

Achievements

  • 1st Position — Munjal University Hackathon (rapid prototyping & system design)
  • Invited Mentor — HackBVP 2023 (scalable design, API contracts, agile)

HTML resume (indexable) · PDF version · Recruiter brief · llms.txt