About
Software Engineer specializing in Generative AI, agentic systems, backend engineering, and multi-tenant SaaS platforms. Experience shipping production LLM applications, AI agents, RAG pipelines, durable workflow orchestration, real-time voice agents, and scalable PostgreSQL-backed services using Go, Python, AWS, LangGraph, Temporal, Redis, and OpenTelemetry.
Experience4
Software Engineer, Generative AI
Jul 2026 — PresentQuant AI · Bengaluru, India
Shipped 20+ backend features to production for an enterprise mortgage lending client, powering agentic loan validation, document analysis, and decision-making workflows. Led the vertical deployment of the flagship Agentic OS product, designing agent workflows on LangGraph with durable, fault-tolerant execution on Temporal. Built and maintained a Unit of Work (UoW) framework for a multi-tenant SaaS platform on PostgreSQL, enforcing atomic transactions and tenant-isolated data access across services.
- Shipped 20+ backend features to production.
- Contributed to 4 UI releases end to end.
- Implemented Redis-based state and context management for distributed agent workflows.
Associate Consultant, Generative AI
Jul 2025 — Jul 2026EY India · Pune, India
Built and productionized LLM applications and agentic AI systems serving 10K+ users, reducing response latency by 45%. Designed multi-agent workflows using LangGraph, AutoGen, and CrewAI with verifier loops, retry mechanisms, and token budgeting, reducing failure rates by 35%. Developed agent memory and context management using Mem0 and knowledge graph-backed representations.
- Reduced response latency by 45%.
- Improved top-k retrieval relevance by 25–35%.
- Achieved 95% detection accuracy in offline PII redaction.
Generative AI Intern
Feb 2025 — Jul 2025EY India · Pune, India
Developed CrewAI-based AI automation workflows to process and filter 80K+ fields from financial datasets using Excel-driven pipelines. Implemented Prometheus and Grafana monitoring to identify indexing load spikes and improve system reliability. Developed metadata, indexing, and retrieval components using PostgreSQL and LangGraph.
Research Intern
May 2024 — Jul 2024National Institute of Technology Raipur
Developed LSTM-based forecasting models achieving 85% accuracy across multi-organization datasets. Built automated data processing pipelines handling 50K+ records for time-series modeling.
Projects2
Cognitive
Built a concurrency-driven research platform in Go with a Jira-like interface for task decomposition, execution, and workflow tracking.
- Go
- WebSockets
- Redis
- PostgreSQL
LoupeRCA
Built a graph-driven Root Cause Analysis agent combining Small Language Models (SLMs) with knowledge graphs to identify and trace system failures.
Open on https://[Medium]- Python
- SLMs
- Knowledge Graphs
- Neo4j
- RabbitMQ
Education2
Bachelor of Technology in Information Technology
2021 — 2025Birla Institute of Technology, Mesra
Higher Secondary
2019 — 2020Maa Bharti Senior Secondary School