About Me
I'm a Senior Software Engineer at Zycus Infotech in Bangalore, specializing in AI/ML engineering. I architect multi-agent orchestration systems, production RAG pipelines, and generative AI developer tools.
Promoted to Senior within 21 months, I've been recognized with 3× Excellence Awards for driving AI-first engineering approaches and shipping autonomous agent workflows that serve thousands of users daily.
Skills & Tools
LangGraph, LangChain, Multi-Agent Orchestration, RAG Pipelines, LangSmith
OpenAI API, Anthropic Claude, Embeddings
Python, SQL
Pgvector, PostgreSQL, MongoDB
FastAPI, MCP, REST APIs
AWS (S3, Lambda, EventBridge, SQS), Docker, Kubernetes
Git, CI/CD Pipelines, Agile/Scrum, Event-Driven Architecture, Claude Code, Cursor
Professional Experience
Senior Software Engineer — AI
Zycus Infotech, Bangalore
- ▸ Architected and delivered a multi-modal Agentic AI platform for high-volume recruitment, leveraging LangGraph to design autonomous agent workflows that parse, evaluate, and score candidates across multi-dimensional pivots; scaled to process 5,000+ resumes daily with deterministic routing and fault-tolerant state management.
- ▸ Designed and implemented a generic, reusable scheduler agent leveraging LangGraph, AWS SQS, and EventBridge, enabling any AI workflow to be triggered via cron expressions with zero orchestration overhead; adopted org-wide as a standard scheduling primitive, reducing report generation latency by 40%.
- ▸ Led end-to-end architecture and delivery of an agentic code generation system capable of scaffolding small-to-medium applications with context-aware synthesis; drove adoption across the engineering org, eliminating first-version friction from development cycles and increasing team-wide delivery velocity by 2×.
- ▸ Engineered a production-grade RAG pipeline using Pgvector, PostgreSQL, and embedding optimization techniques to serve functional and technical product queries at scale; systematically improved retrieval precision from 52% to 83% through iterative refinement of chunking strategies, semantic re-ranking, and query transformation layers.
Frontend Engineer Intern
Loop Reality Pvt. Ltd., Hyderabad
- ▸ Built 2 games from scratch and contributed to the labyrinth game, expanding the interactive content library by 10%.
- ▸ Created roles, advanced settings, and login flow for the screening portal, enhancing user management capabilities and improving platform usability by 2×.
- ▸ Developed an in-house onboarding tool and resolved cross-platform bugs, streamlining internal operations and improving platform stability by 30%.
Projects
Agentic AI Platform
5K+/dayMulti-modal recruitment intelligence powered by LangGraph with autonomous agent workflows for parsing, evaluating, and scoring candidates at scale.
Production RAG Pipeline
52→83%End-to-end retrieval pipeline using Pgvector and PostgreSQL with embedding optimization, chunking strategies, semantic re-ranking, and query transformation.
Scheduler Agent
−40% latencyGeneric, reusable scheduling agent leveraging LangGraph with AWS SQS and EventBridge for cron-triggered AI workflows. Adopted org-wide.
Agentic Code Gen System
2× velocityEnd-to-end agentic system for scaffolding applications with context-aware synthesis. Drove org-wide adoption, eliminating first-version friction.
Education
Bachelor of Technology (B.Tech) in Computer Engineering
Indian Institute of Information Technology, Design & Manufacturing (IIIT), Kurnool
CGPA: 7.31/10
Relevant Coursework: Artificial Intelligence, Data Structures & Algorithms, Database Management Systems, Operating Systems
Awards & Recognition
Promotion to Senior Software Engineer
Fast-tracked within 21 months for leadership in AI/LLM initiatives and high-impact technical contributions.
Zycus Monthly Excellence Award (3×)
Recognized for driving AI-first engineering approaches, including the successful deployment of internal GenAI developer tools.
Hackathon Achievements
Secured 2nd place at Flipper Hackathon 2020 (Automated Scheduling Systems) and 8th place at Bhilai Hacks 2021 (Blockchain-based Funding System).
Get in Touch
Writing & Thoughts
AI engineering deep dives
I write about multi-agent systems, RAG architectures, and lessons from building AI at production scale.
Read the Blog