Structured inquiry.
Scalable impact.
I build AI that thinks, plans, and acts. Not just responds. My focus is Agentic AI and RAG systems powered by memory, tool-use, and multi-step reasoning.
I ship production-ready LLM applications on AWS, architected for speed, reliability, and enterprise scale. Blending research and engineering, I design AI agents you can trust, from real-time decision systems to voice-enabled assistants.
Recently graduated from Arizona State University with an MS in Data Science, focused on cloud-native AI systems and next-gen autonomous intelligence.
Skills & Expertise
Machine Learning & AI
Programming
Frameworks & Libraries
Cloud & Tools
Experience & Education
Research Assistant — AI & Cloud
Arizona State University · Tempe, AZ
- —Led migration of production-grade AI chatbot (Waterbot) to CISA AWS environment
- —Provisioned AWS CDK stack — ECS, ECR, ALB, CloudFront, S3, RDS PostgreSQL, DynamoDB, Lambda
- —Built multi-stage RAG pipeline using AWS Bedrock Knowledge Base + GPT-4.1: safety moderation → intent detection → language detection → semantic retrieval → source citation linking
- —Engineered FastAPI backend with 13 REST & WebSocket endpoints; implemented per-session memory management and pluggable ModelAdapter pattern (OpenAI / Bedrock) for swappable LLM backends
- —Developed real-time voice transcription via WebSocket with S3 storage and presigned URL downloads; added English/Spanish auto-detection using langdetect
- —Implemented secure RDS integration via Secrets Manager & IAM roles
- —Built & pushed Docker images to ECR; switched to ECS CLI redeploys reducing deploy time ~85%
- —Restored chatbot access for 2,000+ users by removing unintended CloudFront auth
Software Quality Engineer Intern
Red Hat · Remote
- —Automated & executed software test suites using GoLang
- —Reduced test execution time by 30% through optimization
- —Designed detailed test plans in Polarion
- —Used Docker for scalable deployment environments
NLP Intern
BraynixAI · Remote
- —Enhanced legal document classification accuracy by 10% using Transformer models
- —Built FastAPI ML services for document processing at scale
Master of Science
Arizona State University · Tempe, AZ
Field: Data Science
GPA: 4.00/4.00
- —Research Assistant — Cloud & AI
- —Courses: Software Security, Data Mining, Statistical Machine Learning
Bachelor of Technology
Dr. Akhilesh Das Gupta Institute of Technology and Management · Delhi, India
Field: Information Technology
GPA: 9.0/10
- —Published 'Monument Tracker' Deep Learning research paper
Recent case studies.
Navia
Co-founded AI companion for neurodivergent adults — multi-agent orchestration, Pinecone memory, E2EE peer messaging
Explore case
ReAct-Based Medical Chatbot
Agentic medical AI chatbot with ReAct reasoning, dual search, and safety classification
Explore case
Walmart Sales Forecasting
Retail demand forecasting using ML & Deep Learning
Explore case
Waterbot
AI-powered educational chatbot for water literacy with multilingual & voice support
Explore caseProfessional Certifications
Generative AI with Large Language Models
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Machine Learning
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30 Days of Google Cloud
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