KARUMANCHI HEMANTH
AI/ML Engineer · Generative AI & Computer Vision
Building end-to-end Machine Learning systems, Generative AI / RAG applications, and Computer Vision pipelines with scalable FastAPI & Docker backend services.
About Me
Engineering AI Solutions from Concept to Deployment
Hi, I'm Karumanchi Hemanth, an AI/ML Engineer based in Hyderabad, Telangana. I specialize in building end-to-end Machine Learning systems, Generative AI applications, and Computer Vision solutions that solve tangible real-world problems.
I hold a B.Tech in Computer Science & Engineering (8.1 CGPA) from Aditya Engineering College and qualified GATE Data Science & Artificial Intelligence (DA) 2026. My professional background includes working as an AI/ML Intern at Infosys Springboard, where I developed machine learning predictive workflows and risk assessment models for healthcare applications.
I am passionate about creating reliable, production-oriented AI infrastructure—combining high-accuracy ML models with clean FastAPI backends, PostgreSQL databases, Docker containerization, and Streamlit/React frontend interfaces.
GenAI & RAG Architectures
Ingestion, vector indexing with Pinecone, recursive chunking, LangChain workflows, and Gemini LLM integrations.
Computer Vision & Deep Learning
Custom YOLOv8 detection pipelines, OpenCV video analytics, MobileNetV2 transfer learning, and PyTorch/TensorFlow models.
Backend & Production MLOps
FastAPI REST APIs, Django backend services, PostgreSQL database schema, JWT auth, and containerized Docker deployments.
GATE DA 2026 Qualified
Strong foundation in Data Structures, Algorithms, Statistics, Machine Learning, DBMS, and Linear Algebra.
Technical Expertise
Skills & Technologies
LLM & Generative AI
AI, ML & Computer Vision
Backend & Web Frameworks
Data Engineering & Analytics
Deployment & Tools
Career Journey
Work Experience
Artificial Intelligence & Machine Learning Intern
- ◆Developed AI/ML solutions using Python and machine learning techniques for real-world healthcare applications.
- ◆Designed and implemented end-to-end ML workflows covering data preprocessing, model integration, prediction, and risk evaluation.
- ◆Applied AI-driven decision-support techniques to analyze patient health information and medical indicators.
- ◆Integrated ML predictive capabilities into application workflows and collaborated on building AI-powered healthcare solutions.
Software & AI Intern
- ◆Developed AI and software applications using Python, TensorFlow, Scikit-learn, and OpenCV.
- ◆Implemented data preprocessing pipelines, feature engineering, model evaluation, and hyperparameter optimization for ML workflows.
- ◆Applied modern software engineering practices to integrate trained AI models into functional application workflows.
Portfolio Showcase
Featured AI & Machine Learning Projects
Enterprise Knowledge Assistant – RAG Application
Built and deployed an enterprise RAG application using Python, LangChain, Gemini, Pinecone, and Streamlit for document-based question answering.
- ✓Implemented PDF/TXT ingestion, recursive chunking, Gemini embeddings, Pinecone vector indexing, and top-k semantic retrieval.
- ✓Generated context-grounded responses using relevance thresholding, with source document and page references.
- ✓Deployed on Streamlit Community Cloud with secure API key management and GitHub-based deployment.
MedAssist AI – AI Healthcare Platform
Developed an AI-powered healthcare platform for symptom analysis, disease prediction, patient risk assessment, and healthcare guidance.
- ✓Implemented ML-based disease prediction with top-condition probability scores and prediction history using PostgreSQL.
- ✓Built a healthcare recommendation and advisory workflow covering preventive guidance, lifestyle/dietary suggestions, and risk-based recommendations.
- ✓Integrated Python, FastAPI, React, PostgreSQL, REST APIs, and JWT authentication, with Docker-based containerization and deployment.
AI Resume & Interview Copilot
Developed a Gemini-powered GenAI application using Python and Streamlit for resume analysis and personalized interview preparation.
- ✓Implemented PDF resume parsing, skill extraction, job-description analysis, prompt engineering, and LLM-based recommendation workflows.
- ✓Generated personalized resume suggestions and interview preparation based on extracted skills and job requirements.
- ✓Deployed on Streamlit Cloud with secure API key management and GitHub deployment workflows.
Smart Helmet Enforcement System
Developed a real-time helmet detection and compliance monitoring system using YOLOv8, OpenCV, and Python.
- ✓Built computer vision pipelines for rider detection, helmet classification, and automated violation monitoring.
- ✓Integrated a Django backend for video processing, alert generation, and system management workflows.
- ✓Applied object detection, image processing, and real-time computer vision for an edge-oriented AI application.
Brain Tumor Classification
Deep learning classification system for detecting brain tumors from MRI scans using MobileNetV2 transfer learning.
- ✓MobileNetV2 transfer learning architecture for MRI image classification
- ✓Data augmentation and image preprocessing pipeline for high model precision
Driver Drowsiness Detection System
Real-time driver fatigue monitoring system using computer vision to track eye closure state and issue safety alerts.
- ✓Real-time facial landmark tracking & eye aspect ratio (EAR) fatigue monitoring
- ✓Instant warning triggers for early accident prevention
Diabetes Predictor App
End-to-end machine learning web application for clinical diabetes risk prediction and patient data analysis.
- ✓Clinical risk estimation pipeline built with Scikit-learn
- ✓Interactive Streamlit interface for instant patient risk scoring
AI Career Advisor Chatbot
LLM-driven career guidance chatbot delivering personalized advice based on user skills and aspirations.
- ✓Conversational AI advisor tailored for career planning
- ✓Skill analysis and learning path recommendation prompts
Academic Profile
Education & Certifications
Academic Degree
Bachelor of Technology in Computer Science & Engineering
Aditya Engineering College, Kakinada
Qualified GATE Data Science & Artificial Intelligence (DA) 2026
- ✓Qualified GATE Data Science & Artificial Intelligence (DA) 2026
- ✓Core Coursework: Data Structures & Algorithms, Object-Oriented Programming, DBMS, Operating Systems, Computer Networks
Industry Certifications
Azure AI Fundamentals
Issuer: Microsoft
Tata Data Visualization Job Simulation
Issuer: Forage & Tata Consultancy Services
Career Essentials in Generative AI
Issuer: Microsoft & LinkedIn
Programming Essentials in Python
Issuer: Microsoft
Get In Touch
Let's Connect & Collaborate
Interested in discussing AI/ML engineering roles, Generative AI projects, or technology collaboration? Feel free to reach out directly!
Location
Hyderabad, Telangana, India