arXiv2026Under Review
Can Small Models Reason About Legal Documents? A Comparative Study
LLMsReasoningLegal AISmall Models
Open for opportunities
AI Engineer who ships products people actually use
3.5+ years building AI for production
Currently building Agentic AI at ModMed, shipping products that touch millions of patients. From self-driving cars to medical AI to side projects helping thousands land jobs — I build things that work.
Stuff I've Built
From self-driving cars to medical AI and agentic applications.
Here's what I've been building.
🤖 Agentic AI2026
AI Influencer Bot
AI-powered social media bot that auto-posts AI news from HackerNews. Autonomous content curation and posting.
PythonLLMAutomation+2+1
🧠 GenAI & LLMs2024
RAG-Anything
Ask any question to your documents, PDFs, or SQL databases. One RAG to rule them all.
PythonLangChainRAG+2+1
🧠 GenAI & LLMs2025
MEDHALT
Framework for evaluating AI-generated medical SOAP notes. Detects hallucinations and validates clinical accuracy.
PythonNERLLM+2+1
🌐 Web Apps2025
FineTune Resume
AI-powered resume optimizer that tailors your resume to job descriptions. Used by thousands of job seekers.
Next.jsAILLM+2+1
🌐 Web Apps2025
Resume2Portfolio
Transform your resume into a beautiful portfolio website in minutes. No coding required.
Next.jsAIAutomation+2+1
🌐 Web Apps2026
WhatsApp R2Park
WhatsApp bot for parking management. Automated notifications and reminders for your parking spot.
Node.jsWhatsApp APIAutomation+2+1
🌐 Web Apps2026
HackSwipe
Tinder-style app for discovering winning hackathon projects. Swipe through 220+ projects with YouTube demos.
JavaScriptWeb AppDevpost+2+1
🌐 Web Apps2026
H1B Wage Finder
Find lowest H1B prevailing wages for your occupation across US metros. Better wages = better approval!
PythonData AnalysisImmigration+2+1
🌐 Web Apps2026
WhatsApp R2Park Bot
WhatsApp bot integration for parking management. Automated notifications and reminders.
JavaScriptWhatsApp APIAutomation+2+1
Research & Publications
Published and under-review work across LLM reasoning, interpretability, and applied computer vision.
arXiv2026Under Review
Do Hallucination Neurons Generalize? Evidence from Cross-Domain Transfer in LLMs
LLMsHallucinationInterpretability
Plants2025PublishedFirst Author
Detecting Escherichia coli Contamination on Plant Leaf Surfaces Using UV-C Fluorescence Imaging and Deep Learning
Computer VisionYOLOv11AgricultureFood Safety
IEEE ICCMST2023Published
An Effective Model for Smartphone-Based Pothole Classification and Admin Alerting System
Computer VisionEdge AIMobile
IEEE2022Published
ECG-Based Early Heart Attack Prediction Using Neural Networks
Healthcare AINeural NetworksTime SeriesCardiology
My Toolkit
The technologies I use to turn caffeine into code
🤖
GenAI & LLMs
LangChain
OpenAI API
Claude
RAG Systems
Hugging Face
Fine-tuning
Prompt Engineering
Vector DBs
🧠
Machine Learning
TensorFlow
PyTorch
Keras
Scikit-learn
Computer Vision
NLP
Deep Learning
MLOps
⚡
Data Engineering
Python
SQL
PySpark
Kafka
Airflow
AWS (S3, Redshift)
Snowflake
dbt
💻
Development
Python
TypeScript
React/Next.js
FastAPI
Node.js
Swift (iOS)
Git
Docker
☁️
Cloud & Tools
AWS
GCP
Vercel
GitHub Actions
Jupyter
VS Code
Linux
Streamlit
Where I've Worked
From building data pipelines at scale to pushing the boundaries of AI research
Full-timeFeb 2025 - Apr 2026
AI Engineer — GenAI Applications & LLM Systems
- ▹Shipped Clinical Ambient AI Scribe serving 15,000+ providers across 11 specialties (400K+ daily encounters), automating 70% of documentation via real-time transcription + LLM SOAP generation
- ▹Built agentic document pipeline (OpenAI Agents SDK + fine-tuned Qwen2-VL VLM) routing 10M+ clinical pages/month, replacing a $400K/month vendor with a $20K in-house system (95% cost reduction)
- ▹Built Text2SQL + clinical knowledge graph over ModMed’s EHR warehouse (200+ tables, pgvector embeddings), cutting analyst request volume by 60%
- ▹Architected production multi-agent RAG with LoRA-finetuned SLMs, hybrid pgvector + BM25 retrieval, and cross-encoder reranking — 94% retrieval precision across 50K+ clinical documents
- ▹Open-sourced MEDHALT — clinical hallucination detection (DeBERTa NER + LLM-as-judge) achieving 92% accuracy vs. GPT-4, with MLflow tracking and golden-set regression testing
- ▹Shipped LangChain/LangGraph/Claude monitoring framework for Scribe quality, cutting incident response to under 5 minutes with PHI-safe pipelines and prompt-injection filtering
PythonLangChainLangGraphVLMsRAGpgvectorDatabricksKubernetesMLflow
InternshipMay 2024 - Jul 2024
AI Software Developer Intern
GeoSpider AI•USA (Remote)
- ▹Built LangGraph multi-agent RAG that autonomously resolved 65% of customer tickets across a 50K-doc knowledge base, with dynamic routing and LLM-as-judge scoring
- ▹Built LLM-as-judge routing layer with dynamic few-shot prompting, improving helpfulness from 43% → 76% and relevance by 30%
- ▹Designed FAISS + keyword hybrid search with semantic reranking — 92% recall@10, serving 150+ concurrent users via vLLM with 40% p95 latency reduction
- ▹Implemented Redis-backed multi-turn agent memory and FastAPI inference gateway with fallback logic and structured logging
LangGraphFAISSvLLMRedisFastAPILLM-as-Judge
ResearchFeb 2023 - Dec 2024
Graduate Researcher, AI/ML
- ▹Developed hybrid YOLOv8-ViT model improving small-object detection by 15% with Grad-CAM / EigenCAM explainability. Published at SPIE 2025 and IEEE 2023; presented at both
- ▹Built React dashboard with Grad-CAM visualizations replacing static PDF reports (adoption 15% → 85%). Prototyped CLIP-based multi-modal retrieval between lab images and research reports
- ▹Automated model retraining via MLflow + GitHub Actions CI/CD, cutting deployment from 4 hours to 15 minutes
PythonYOLOv8ViTCLIPMLflowGrad-CAM
Full-timeJun 2021 - Dec 2022
Software Data Engineer
- ▹Engineered BERT + XGBoost intent classifier (88% F1) predicting technician dispatch necessity — eliminated 12K unnecessary dispatches/year, saving $2M annually
- ▹Built Elasticsearch + Word2Vec anomaly detection for network telemetry, cutting diagnosis time by 40% and Tier-2 escalations by 25%
- ▹Optimized PySpark / Delta Lake pipelines processing 1M+ logs/day (30% latency reduction); designed Azure Synapse warehouse with dbt
- ▹Built NLP ticket-categorization pipeline with fine-tuned BERT — 91% accuracy, 500K+ monthly interactions
PythonPySparkBERTAzure SynapseDelta LakeElasticsearch
Education
Master of Science in Computer & Information Science
University of Florida
Gainesville, FL2023 - 2024
Focus: Machine Learning, Computer Vision, Data Engineering
Bachelor of Technology in Computer Science
GPA: 3.9/4.0GITAM University
Visakhapatnam, India2017 - 2021
Focus: Software Engineering, Data Science
Let's grab a virtual coffee
Got an interesting project?
Let's talk!
I'm always excited to discuss AI, data engineering, or just tech in general. Whether you have a project idea, job opportunity, or just want to say hi - my inbox is open!
Drop me an email