About Me
I'm an AI/ML Software Engineer with 3+ years of experience building AI-powered tools, full-stack applications, and scalable data infrastructure. My expertise lies in Python for production ML deployment, LLM agent orchestration, coding agents, and inference optimization. I specialize in multi-agent systems, parallel background agents, and agentic AI products that prioritize usability, safety, and real-world impact.
My Story
I'm an AI/ML Software Engineer passionate about building AI-powered tools, full-stack applications, and scalable data infrastructure. My expertise lies in Python for production ML deployment, LLM agent orchestration, coding agents, and inference optimization.
I specialize in multi-agent systems, parallel background agents, and agentic AI products that prioritize usability, safety, and real-world impact. My work spans from developing user-facing tooling and React-based dashboards for LLM-driven apps to building high-throughput APIs and data pipelines that process millions of events daily.
What drives me is the challenge of creating AI systems that are not only technically sophisticated but also practical and user-friendly. I love working with modern frameworks, optimizing performance, and building solutions that deliver measurable business value while maintaining high standards of code quality and system reliability.
Tech Stack
Technologies and tools I use to bring ideas to life
Languages
- Python
- TypeScript
- SQL
- HTML
- CSS
Frameworks & APIs
- React
- Next.js
- Tailwind
- FastAPI
- Flask
- Django
- Spring Boot
- REST
- gRPC
- Kafka
AI/ML
- GPT-5
- GPT-4
- GPT-4o
- Claude Sonnet-4
- Claude Sonnet
- Gemini
- LangChain
- LangGraph
- Pinecone
- XGBoost
- PyTorch
- HuggingFace
- Transformers
- scikit-learn
- BERT
DevOps
- Docker
- GitHub Actions
- AWS Lambda
- Kubernetes
- CI/CD
Monitoring
- AWS CloudWatch
- Prometheus
- Logging
- Alerting
Databases
- PostgreSQL
- MySQL
- MongoDB
- Redis
- DynamoDB
Education
- Data Structures & Algorithms
- Machine Learning
- Data Mining
- Data Center Scale Computing
- Cybersecurity for Data Science
- Data Science as a Field
- Ethical Issues in Data Science
- Data Structures and Algorithms
- Software Engineering
- Web Technologies
- Cloud Computing
- Database Systems
- Operating Systems
- Object-Oriented Programming
- Computer Networks
- Distributed Systems
Experience
My professional journey in the tech industry
AI Engineer
Jul 2025 – Present
- Architected multi-agent LLM pipelines for code generation (Python, LangChain, GPT-5, Claude Sonnet-4, Gemini), contributing to $2M ARR within 3 months through advanced agentic capabilities enabling 600K+ users to build production web and mobile apps.
- Built Deep Debugger autonomous agent with self-correction capabilities: designed evaluation framework using AST-based semantic validation, compilation success metrics, and cyclomatic complexity analysis across 400+ step workflows, achieving 78% autonomous resolution rate.
- Engineered intelligent model routing system dynamically selecting between GPT-5, Claude Sonnet-4, and Gemini based on task complexity, token cost, and latency requirements; reduced inference costs 10% ($15K/month) while maintaining 95th percentile latency under 800ms.
- Collaborated with Anthropic's Applied AI team to implement prompt caching strategies (cache hit rate: 67%), reducing token consumption by 40% and achieving 2.1x speedup on repeated agentic workflows.
- Developed parallel background agents for concurrent multimodal processing (file sync, DB operations, UI generation), reducing task completion latency by 35% through async execution and optimized I/O handling.
AI Engineer
June 2024 – Dec 2024
- Built production RAG chatbot for internal documentation using LangGraph, Pinecone vector embeddings, and GPT-4; implemented multi-step agentic workflows with context retrieval, achieving 87% answer accuracy and reducing internal support tickets by 35%.
- Engineered prompt templates for automated campaign generation across nonprofits, businesses, and customer segments; designed few-shot learning strategies and dynamic prompt construction, improving campaign relevance scores by 40%.
- Fine-tuned campaign targeting models on proprietary dataset (15K+ labeled examples), implementing evaluation framework with precision/recall metrics and A/B testing; improved click-through rates by 28% and reduced targeting latency from 2000ms to 300ms.
- Architected ML inference infrastructure with gRPC APIs and serverless pipelines (AWS Lambda, DynamoDB) processing 5K+ daily events; implemented model monitoring (CloudWatch, Prometheus) reducing pipeline downtime by 70%.
AI Software Engineer
Aug 2021 – June 2023
- Implemented XGBoost classifiers for formulary drug decision predictions, analyzing PHI health data to forecast pharmacy insurance costs; achieved 87% accuracy with feature importance analysis enabling proactive cost management and formulary optimization.
- Architected event-driven microservices (Spring Boot, Kafka, AWS Lambda) for real-time pharmacy decisioning, improving throughput 20% to handle 10K+ requests/min.
- Built Query Builder tool enabling business teams to generate complex SQL queries without engineering support, reducing ad-hoc request volume by 40% and improving data accessibility.
Associate Software Engineer
Nov 2020 – Aug 2021
- Developed frontend components using React and TypeScript, improving usability and cross-browser performance by 25%.
- Designed RESTful APIs in Python to optimize system communication, reducing data processing time by 30%.
- Deployed containerized services using Docker on AWS EC2, integrating CI/CD pipelines for automated and scalable delivery.
Certifications & Awards
Generative AI Fundamentals
Databricks
Data Science Hackathon
University of Colorado Boulder
Introduction to R Programming
University of Colorado Boulder
MongoDB – The Complete Developer's Guide
Udemy
Spot Award – Outstanding Contribution in Project
TEKsystems
Go Java Full Stack with Spring Boot and React
Udemy
React Testing library with Jest
Udemy
React Course
Udemy
SQL (Basic)
Hackerrank
SQL (Intermediate)
Hackerrank
Vue Course
Udemy
Python (Basic)
Hackerrank
Python (Intermediate)
Hackerrank
Python Course
Coursera & Google
Volunteering & Activities
Ways I give back and stay engaged beyond work
