About Me
I build AI systems that ship — not just experiments in notebooks. I design and deploy production-grade GenAI applications end-to-end, from model architecture to deployed API.
I've built LLM-powered assistants, automated assessment systems with AI-based scoring, RAG pipelines backed by vector databases, and computer vision systems for real-world safety applications — all served through FastAPI and integrated into live workflows.
I specialize at the intersection of:
NLP & Generative AI
LLMs, RAG systems, LangChain, prompt engineering
Computer Vision
CNNs, transfer learning, OpenCV, object detection
ML Engineering
Model training, evaluation pipelines, FastAPI deployment
Agentic AI
LangChain agents, Ollama, Groq, multimodal systems
Currently in my final year of B.E. Computer Science (AI & ML) at Lords Institute of Engineering & Technology, Hyderabad. I stay current with emerging research in machine learning, computer vision, and large language models — and I build things to understand them, not just read about them.
Open to AI Engineer, ML Engineer, and Computer Vision Engineer roles where I can work on production systems that solve real problems.
Technical Skills
My core stack — tools I use to build and ship real AI systems
NLP & Generative AI
Computer Vision & DL
ML Engineering
Programming
Data & Analysis
Tools & Deployment
Featured Projects
AI systems built end-to-end and deployed to production
PulmoScan AI – Tuberculosis Detection System
An advanced deep-learning system for automated tuberculosis detection from chest X-rays, featuring real-time Grad-CAM heatmap visualizations and seamless deployment on HuggingFace Spaces.
Doubt Tutor – AI Study Assistant
A fully interactive, AI-powered study assistant supporting multiple AI models with PDF, image, and document uploads — offering real-time doubt-solving with contextual memory and multi-modal reasoning.
PTEra – AI-Powered PTE Mock Assessment
A full-scale PTE mock test platform with adaptive difficulty, real-time scoring, section timers, and professional exam-style UI.
TruthLens — Fake News Detector
Dual-AI system combining CNN-LSTM deep learning with Gemini API to detect fake news with 94.2% accuracy.
CNN-LSTM Hybrid
Custom NLP architecture
Analytics Dashboard
Chart.js real-time stats
REST API
POST /api/predict endpoint
Admin Auth
Session-based login
SQLite + ORM
Persistent prediction logs
94.2% Accuracy
40,000+ article dataset
Building Safety Smoke Detection
Major college project — dual-module intelligent fire and smoke detection system combining 7 ML classifiers on 62,630 IoT sensor readings (AUC-ROC > 0.999) with MobileNetV2 CNN (96.98% accuracy) and YOLOv8 bounding-box detection, deployed as a Django web application.
Experience
Building and shipping production AI systems
Artificial Intelligence Intern
TechZone Software Academy for Training & Research
Hyderabad, India
Key Achievements
- Architected and deployed 4 production-grade AI systems for a live ed-tech platform serving students and educators across Hyderabad
- Engineered a RAG-powered AI tutoring system using LangChain and vector databases, delivering contextual real-time academic support
- Designed and shipped an automated PTE mock-test engine with LLM-based scoring across reading, writing, and listening modules
- Built an MCQ generation and attendance automation system, eliminating manual academic tracking across departments
- Delivered all systems as production-ready FastAPI services with REST-based orchestration and continuous prompt optimization
Technologies Used
AI/ML Intern
RAM Innovative Infotech
Hyderabad, India
Key Achievements
- Completed an intensive AI/ML training program organized in collaboration with Lords Institute CSE-AIML department
- Developed a disease prediction ML model using Python and Scikit-learn, applying supervised learning classification on medical datasets
- Gained hands-on exposure to Django for web-based AI integration and data preprocessing pipeline design
Technologies Used
Get In Touch
Feel free to reach out for collaborations, opportunities, or just a friendly chat!
Send a Message
📍Based in Hyderabad, India