Hi, I'm

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Software Engineer building distributed systems and AI-powered tooling — from high-scale payments to LLM-driven automation. Focused on reliability, cost, and developer productivity.

Java & Spring BootPython & FastAPILLM agents & RAGKafka & eventsAWS & Kubernetes
USA
773-930-2475
Profile

How I work & what I bring

A quick snapshot for hiring managers — details in experience and skills.

I'm a Software Engineer with 3+ years of experience building distributed systems and AI-powered developer tooling—growing from backend engineering to AI-driven platforms.

I build LLM-powered applications, working across product, infrastructure, and security to deliver reliable and scalable systems—from payment pipelines to autonomous code review agents.

My core strengths are microservices, event-driven systems, and automation, with hands-on experience in Java, Python, Node.js, Kafka, and modern AI stacks like LangChain and RAG.

I focus on measurable impact—improving system performance, reducing costs, and enabling teams to ship faster with confidence.

Software Engineer

Illinois Institute of Technology

Education

M.S. in Computer Science, Illinois Institute of Technology (Aug 2023 – May 2025)

Experience

3+ years building distributed systems and AI-powered developer tooling

Expertise

Microservices, event-driven systems, Java, Python, Node.js, Kafka, LangChain, and RAG

Focus

Measurable impact—performance, cost, and helping teams ship faster with confidence

Experience

Professional Journey

Full-time roles only — each card starts with impact metrics recruiters can skim in under a minute.

AI Software Engineer

Rubrik
Full-time
Jan 2025 – Present
Remote, USA

PR turnaround

18h → 2.5h

Engineers on reviews

200

Review cost / PR

$50 → $0.40

Pipeline reliability

99.8%

Highlights & scope

  • >Lead development of an autonomous code review agent using LangChain Agents and OpenAI GPT-4o on FastAPI, orchestrating parallel security and performance scans that reduce PR turnaround from 18 h to 2.5 h.
  • >Engineer event-driven webhook pipeline in Node.js and Express within a microservices architecture, processing GitHub PR events and dispatching payloads to the Python agent service via REST APIs, enabling real-time reviews for 200 engineers.
  • >Implement RAG-based codebase search using a vector database and LangChain retrieval chains integrated with the GitHub REST API, providing contextual diff analysis that identifies 34 critical security vulnerabilities missed during manual review cycles.
  • >Develop confidence-scored suggestion engine with automated test generation using LangChain structured outputs, mentoring 3 juniors on evaluation patterns while persisting audit trails in PostgreSQL with SQL analytics achieving 67% acceptance rate.
  • >Build admin analytics dashboard in React and Next.js with product and engineering leadership to define acceptance-rate, false-positive, and cost-per-PR metrics, reducing review cost from $50 to $0.40 per PR.
  • >Containerize microservices with Docker and deploy to AWS ECS, Lambda, and Kubernetes (EKS), integrating Slack REST API notifications with risk scoring that improves developer satisfaction from 3.2 to 4.6 out of 5.0.
  • >Orchestrate end-to-end CI/CD pipelines using GitHub Actions with automated integration tests and agent quality gates, deploying across AWS infrastructure in Agile sprints with 99.8% pipeline reliability processing 600+ monthly PRs.
PythonFastAPILangChainOpenAI GPT-4oNode.jsExpressReactNext.jsPostgreSQLAWSDockerKubernetesGitHub Actions

Software Engineer

Razorpay
Full-time
May 2021 – Jul 2023
India

Daily transactions

500K+

Payment failures

12% → 4%

Annual recovery

$2.1M

Reconciliation

48h → 2h

Highlights & scope

  • >Led a 4-engineer squad to architect payment processing core in Java, Spring Boot, and Hibernate, implementing intelligent retry and multi-gateway routing across UPI rails reducing failure rates from 12% to 4%, recovering $2.1M annually.
  • >Drove system design of event-driven microservices using Apache Kafka, streaming payment events, settlement triggers, and refund workflows across 6 consumer services processing 500K+ daily transactions with guaranteed ordering.
  • >Built settlement reconciliation engine in Python and FastAPI, consuming Kafka events and automating bank file matching against PostgreSQL and MySQL ledgers with optimized indexing, reducing reconciliation turnaround from 48 h to 2 h.
  • >Developed merchant transaction dashboard in React and TypeScript with real-time payment tracking, settlement summaries, and GMV analytics via REST APIs, collaborating with product and design to serve 25K+ merchants.
  • >Engineered refund orchestration and webhook services in Node.js and Express, managing state machines with idempotency keys and Redis-backed rate limiting via REST APIs, reducing refund processing from 7 days to under 24 h.
  • >Established comprehensive JUnit test suites achieving 90%+ coverage across Spring Boot payment-critical services, containerized with Docker, and deployed to AWS ECS via Jenkins and GitHub Actions CI/CD pipelines in Agile sprints.
  • >Streamed transaction lifecycle events from Kafka into DynamoDB audit trails with TTL retention, enforced Git review gates with mandatory approvals for payment-critical paths, enabling PCI-DSS compliance across 500K+ daily transactions.
JavaSpring BootHibernatePythonFastAPIReactTypeScriptNode.jsExpressKafkaPostgreSQLMySQLDynamoDBRedisAWS ECSDockerJenkins
Skills & Technologies

Technical Expertise

Keyword-aligned for ATS and recruiter search — maps directly to the stacks in my experience.

Programming Languages

JavaPythonJavaScript (Node.js)TypeScriptSQL

Backend & API Development

Spring BootHibernateFastAPIExpress.jsREST APIsMicroservices Architecture

Frontend Development

React.jsNext.jsHTML5CSS3

AI/ML & LLM Engineering

LangChainOpenAI GPT-4oRAGLLM AgentsPrompt Engineering

Databases & Event-Driven Systems

PostgreSQLMySQLDynamoDBRedisVector DatabasesApache KafkaEvent-Driven ArchitectureWebhooks

Cloud & DevOps

AWS (ECS, EKS, Lambda)DockerKubernetesCI/CD PipelinesGitHub ActionsJenkins

Testing, Quality & Observability

JUnitIntegration TestingTest AutomationCode Quality GatesSystem MetricsCost OptimizationPerformance TuningLogging & Observability

Tools & Collaboration

GitGitHubAgile/ScrumSlack API Integrations
Projects

Featured Projects

Production-style work sample at the top; open-source and academic projects below — each lists stack so screeners can match reqs fast.

Autonomous Code Review & Engineering Intelligence

2025 – Present<>14 Technologies

Production platform for AI-assisted code review: LangChain agents and GPT-4o on FastAPI, Node/Express webhook pipelines for GitHub PRs, RAG over repositories for contextual diffs, PostgreSQL-backed audit and analytics, and React/Next.js dashboards—paired with Docker, AWS (ECS, Lambda, EKS), Slack integrations, and GitHub Actions CI/CD with quality gates.

Technologies Used

PythonFastAPILangChainOpenAI GPT-4oNode.jsExpressReactNext.jsPostgreSQLVector DBAWSDockerKubernetesGitHub Actions

Call Center Analytics Dashboard

Nov 2025<>7 Technologies

Full-stack AI dashboard that analyzes 451 call center interactions using TypeScript, Express, React, and Gemini 2.5. Surfaces LLM insights, funnels, and revenue modeling so teams can spot patterns and coaching opportunities quickly. Built end-to-end with Cursor to iterate fast with AI-assisted development.

Technologies Used

ReactTypeScriptExpress.jsGemini 2.5TailwindRechartsNode.js

RAG-Based Chatbot with AgentCore

Oct 2025<>5 Technologies

Custom RAG chatbot on AWS Bedrock and AgentCore for domain-specific Q&A over PDFs and text files. Built embedding pipelines and retrieval logic to keep answers grounded in the knowledge base. Exposed a Python interface for real-time agent invocation and scalable reasoning workflows.

Technologies Used

PythonAWS BedrockAgentCoreEmbeddingsRetrieval Pipelines

AI Guest Concierge Agent

Jul 2025<>6 Technologies

AI concierge agent that answers guest questions, retrieves event/vendor info, and automates end-to-end workflows. Uses a RAG pipeline on Pinecone + Supabase to keep responses relevant and reduce manual support load. Connects frontend UI to backend APIs for smooth, real-time interaction.

Technologies Used

PythonRAGPineconeSupabasen8nREST APIs

Real-Time Hand Sign Detection System

Jan 2025<>4 Technologies

Real-time gesture recognition system that detects 36 hand signs with 90%+ accuracy. Combines MediaPipe hand landmarks with a TensorFlow classifier for fast inference. Designed as a modular pipeline so models can be retrained, tuned, and deployed with minimal friction.

Technologies Used

PythonTensorFlowMediaPipeOpenCV

Traffic Management System (CLI Analytics Tool)

Mar 2024<>4 Technologies

Python + SQL CLI analytics tool for traffic incident, vehicle, road, and signal datasets. Uses normalized schemas and query-driven workflows to analyze violation density, coverage gaps, and route throughput. Gives operators a simple way to surface trends and make data-driven decisions.

Technologies Used

PythonSQLData ModelingSoftware Development
Timeline

Career Progression

From scalable backend systems to AI-powered developer tooling.

2021 – 2023
Payments at Scale — Razorpay

Built and scaled backend systems for payments handling 500K+ daily transactions using microservices and event-driven architecture.

Improved reliability and enabled real-time workflows across payments, refunds, and reconciliation systems.

2023 – 2025
Graduate Studies — Illinois Institute of Technology

Strengthened expertise in distributed systems, machine learning, and scalable engineering.

Transitioned focus from backend development to AI-driven product engineering.

2025+
AI & Developer Tooling — Rubrik

Building LLM-powered agents and RAG systems to automate code reviews and enhance developer productivity.

Designing scalable systems with modern cloud and microservices architecture, driving efficiency and quality at scale.

Education

Academic Background

Master's in Computer Science (Aug 2023 – May 2025) — complements full-time experience in production systems and AI platforms.

Master of Science in Computer Science

Master's
Illinois Institute of Technology
Aug 2023 – May 2025
Chicago, IL

Key Coursework

Machine LearningDeep LearningData StructuresAlgorithmsAI EthicsSoftware Engineering

Graduate studies in computer science with emphasis on artificial intelligence, machine learning, and building reliable software systems.

Academic Highlights

Master of Science in Computer Science

Graduate program at Illinois Institute of Technology, Chicago, IL

Technical depth

Coursework spanning ML, systems, and software engineering practice

Strong CS foundation

Built on algorithms, AI/ML, and rigorous engineering fundamentals

Hiring & collaborations

Let's talk

Open to backend, platform, and AI/LLM opportunities.

The fastest way to connect is via my resume or LinkedIn — I typically respond within a day.

Contact Information

Availability

Monday - Friday

9:00 AM - 6:00 PM CST

Weekend

Available for urgent matters

Usually responds within 24hrs

Send me a message

Have a project in mind? Let's discuss how we can work together.