Experience

Production AI (2023–now)

1. Senior Software Engineer

   Apr 2023 – Present · MI, USA · Remote

   Enterprise Multi-Agent AI Platform

   Aug 2025 – Present

   • Own architecture and design decisions for an end-to-end enterprise AI platform on AWS (backend services, data pipelines, APIs and the agent layer) that automates multi-step document work business teams previously did by hand; cut processing time by ~60% and model running cost by ~55%.
   • Work directly with client stakeholders, from engineers to executives, to break down workflows, agree on what “good” looks like, and turn it into a technical design and delivery plan.
   • Built specialized agents coordinated by a supervisor over A2A messaging and a shared MCP layer, so workflows no single model handled reliably now run start to finish without a human in the loop.
   • Added guardrails for input and output safety, PII protection and prompt-injection defense, backed by automated evaluation (RAGAS) and regression suites that keep quality consistent across releases.

   Stack: Python, FastAPI, AWS Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, EKS, Aurora PostgreSQL; LangChain, LangGraph, CrewAI; GPT-4o, Claude; pgVector, FAISS; Terraform

   Document Workflow Orchestration

   Sep 2024 – Aug 2025

   • Built a pipeline that turns unstructured client documents (briefs, emails, transcripts) into schema-aligned JSON, routing low-confidence fields to a human reviewer instead of guessing; held 90%+ field accuracy in production.
   • Implemented structured extraction with GPT-4o and Pydantic validation (required-field checks, time-format normalization, confidence flags), and reduced fabricated fields by enforcing explicit “unknown / needs confirmation” behavior.
   • Built FastAPI services for client-side integration with client engineers, covering contracts, error handling and throughput.

   Stack: Python, FastAPI, OpenAI GPT-4o, Azure OpenAI, LangChain, Pydantic; AWS Lambda, EKS; Docker, Kubernetes

   Job Semantic Search Platform

   Feb 2024 – Aug 2024

   • Built the embeddings ingestion pipeline and semantic search APIs over Aurora PostgreSQL with pgVector, combining vector similarity with metadata filters and tuning relevance and query performance to interactive response times.
   • Added monitoring for ingestion failures, retrieval latency and relevance debugging, and set team standards for RAG patterns, structured outputs, evaluation and observability.

   Stack: Python, Azure OpenAI embeddings, Aurora PostgreSQL + pgVector, AWS EKS, S3; REST APIs, Kubernetes, CloudWatch

   Travel Planning Copilot & Virtual Concierge

   Apr 2023 – Jan 2024

   • Delivered a customer-facing travel assistant with deterministic itinerary generation using structured templates and schema-driven LLM output, integrated with the Google Places API.
   • Built and deployed the React chat front end over the RAG pipeline and FastAPI backend, including loading, error and empty states, so the client could use it directly.
   • Shipped confidence-based clarification, safe refusal and escalation paths so the assistant asks instead of giving confident wrong answers; hardened the APIs with retries, timeouts and graceful degradation, with latency and fallback metrics and regression prompt suites.

   Stack: Python, FastAPI, React, TypeScript; OpenAI GPT, Azure OpenAI, LangChain, Pinecone, pgVector, Pydantic; AWS Lambda, EKS; CloudWatch, LangSmith

Java and distributed systems (2014–2023)

1. Java Developer, Enterprise Microservices Platform · TIAA

   Jul 2022 – Mar 2023

   Built Spring Boot REST APIs and microservices, owned deliverables end to end with zero production incidents, and drove SonarQube adoption across the team.

2. Java Developer, Financial Change Management · Wells Fargo

   Feb 2021 – May 2022

   Delivered Spring Boot REST services and microservices as an individual contributor working directly with US counterparts, resolving upstream and downstream issues within SLA.

3. Java Developer, Product Data Management · Client: Apple

   Feb 2015 – Jan 2021

   Built Spring MVC and Spring Boot applications across the full SDLC, with Java/J2EE services over REST and SOAP and a Hibernate data-access layer.

4. Java Developer, SOA Integration & Healthcare Systems · Napier

   Feb 2014 – Jan 2015

   Delivered SOA integrations and REST services for Tier-1 telecom and healthcare clients, including the AAASC authentication and authorization API for Telstra and core modules of the Napier Hospital Information System.

Stack (2014–2023): Java 8, Spring Boot, Spring MVC, Hibernate/JPA, JAX-RS, REST, SOAP, Kafka, Oracle, PostgreSQL, JUnit, Mockito, Maven, Jenkins, SonarQube

Master of Computer Applications (MCA) and Bachelor of Science (B.Sc.), Acharya Nagarjuna University, India

Front end

React, TypeScript, JavaScript, Streamlit

Backend and distributed systems

Java 8/11, Spring Boot, Spring MVC, Python, FastAPI, REST, GraphQL, SOAP, microservices, Kafka, OAuth 2.0, mTLS

Data

Aurora PostgreSQL, Oracle, DynamoDB, pgVector, FAISS, Pinecone, ETL and embedding pipelines

AI

Claude, GPT-4o, AWS Bedrock, Azure OpenAI, LangChain, LangGraph, CrewAI, RAG, multi-agent orchestration, MCP, guardrails, RAGAS evaluation

Cloud and DevOps

AWS (Lambda, Step Functions, API Gateway, EKS, S3, IAM/KMS), Docker, Kubernetes, Terraform, GitHub Actions, Jenkins, CloudWatch

Last updated: October 2026