AI Software Developer with 1.5+ years of experience shipping production-grade intelligent systems — from LLM-based multi-agent architectures and agentic workflow design (LLaMA, Mistral, LangChain) to full-stack AI platforms spanning model training, inference APIs, and front-end interfaces.
- 🏥 Building agentic AI systems for clinical AI and ed-tech
- 🤖 Focused on multi-agent workflows, RAG, and LLM fine-tuning (LoRA/PEFT)
- 🎓 B.Tech, Computer Science & IT — CVR College of Engineering (JNTUH), CGPA 8.7/10
- 📍 Based in Hyderabad, India
AI Software Developer · SAAP Technologies · Dec 2024 – Present
- NOVO Wellness — Student Mental Health AI Platform: architected an end-to-end agentic AI platform (Python, FastAPI, React) with multi-agent pipelines using LLaMA and Mistral for psychometric assessment interpretation and student profiling, with dashboards for early behavioral pattern detection.
- NOVO Neurotech — Clinical Neurological Insights System: built AI pipelines for neurological scan data (DICOM preprocessing, feature extraction, TensorFlow/PyTorch model training) with scalable inference APIs for multi-site clinical use.
| Project | Stack | Description |
|---|---|---|
| PPE Safety Compliance Detection | YOLOv8, DeepSORT, FastAPI, React, PostgreSQL | Real-time workplace safety monitor detecting missing PPE from live video, with worker tracking and a live violation dashboard |
| Autonomous Barista Agent | LangChain, OpenAI API, Twilio Voice API | Voice LLM agent that takes live calls, interprets orders via tool calling, and handles modifications with persistent memory |
| Agentic Seminar Report Writer | LangChain, LlamaIndex, ChromaDB, FastAPI, React | Multi-agent RAG platform that researches a topic, then plans, writes, and critiques a full IEEE-cited report with PDF/DOCX export |
Languages
AI / ML & LLMs
Also: XGBoost, LLaMA, Mistral, PEFT/LoRA, RAG, Prompt Engineering, CNNs, RNNs, DQN
Agentic & Infra
Also: Multi-Agent Workflows, Tool Use / Function Calling, Vector Databases (FAISS, ChromaDB), REST APIs
Full-Stack
Databases & Cloud
- Deep Learning Specialization — Coursera / DeepLearning.AI (Andrew Ng)
- Machine Learning with Python — IBM / Coursera
- Generative AI with LLMs — Coursera / DeepLearning.AI & AWS
