Skills & Expertise
From production AI agents to enterprise Java, these are the technologies I work with every day — ranked by depth and impact.
AI & Machine Learning
Building production AI agents and LLM-powered systems at TransUnion
LangChain / LangGraph
1+ yr ProductionProduction AI agents, RAG, multi-agent orchestration
MLFlow
1+ yr ProductionModel lifecycle management, LLMOps
RAG Pipelines
1+ yr ProductionRetrieval-augmented generation for enterprise data
OpenAI API
1+ yr ProductionLLM integration, prompt engineering
FAISS
Vector similarity search
Claude Code
AI-augmented development with subagents and hooks
LLMOps
Production deployment, monitoring, iteration
Core Expertise
Technologies I've used extensively in production with deep hands-on experience.
Java (8–17)
6+ yrs ProductionEnterprise backend, Spring ecosystem, 6+ years
Spring Boot
5+ yrs ProductionMicroservices, REST APIs, enterprise applications
Python
3+ yrs ProductionAI/ML, data pipelines, automation
PostgreSQL
4+ yrs ProductionTB-scale datasets, query optimization
AWS
3+ yrs ProductionEKS, cloud infrastructure, deployment
Docker / Kubernetes
3+ yrs ProductionContainer orchestration, microservices deployment
Proficient
Solid working knowledge — used in projects or professional settings.
Hibernate
Node.js
MySQL
MongoDB
Redis
Neo4j
DuckDB
Trino
Apache Superset
React
React Native
Vue.js
TypeScript
Redux
Jenkins CI/CD
Git / GitHub
Linux / BASH
JUnit / JMeter
Familiar & Exploring
Technologies I've used in smaller scopes or am actively learning.
Concepts & Methodologies
Design principles and engineering practices I apply daily.
Soft Skills
The non-technical competencies that make the technical ones effective.