Machine Learning and Generative AI practitioner with hands-on experience building end-to-end ML and RAG-based systems. Experienced in working with Java and Python to apply ML models, embeddings, and API-driven workflows to real-world problems.
Contact MePython, Java, SQL (MySQL)
NumPy, Pandas, Scikit-learn, Feature Engineering, Model Evaluation
PyTorch, Transformers, LLM APIs, RAG, Embeddings
FastAPI, REST APIs, Docker, Git/GitHub, Linux
Developed an AI-powered EV consulting system integrating custom ML models with a GPU-accelerated DialoGPT-small conversational agent. Designed a hybrid intelligence pipeline combining classical ML models (GBM, RF, XGBoost) with a Hugging-Face transformer conversational layer.
Oct 2025 - Nov 2025Developed the production-ready AI platform using React.js and TailwindCSS with secure AWS Amplify + Cognito authentication. Built Google Maps geofencing dashboards and optimized API/state handling using Vite.
May 2025 - Jul 2025A GenAI-powered recommendation system using RAG, FAISS vector search, and Gemini 1.5 Flash to select the best talent assessments based on job descriptions.
Developed a "Two-Brain Architecture" NIDS (Supervised + Anomaly) with leakage-free stratified validation. Engineered a retraining-free fusion mechanism achieving 100% Precision and 88.68% Accuracy via dynamic risk control.
Built a multilingual AI-driven grievance analysis system. Designed a custom RAG-style retrieval pipeline to index live SQL data without vector databases.
Real-time phishing and malicious URL detection system using a calibrated Hist Gradient Boosting Classifier served via FastAPI (91.75% Accuracy).
CNN-based pipeline to detect lung nodules from DICOM CT images. Implemented preprocessing and trained a sequential CNN achieving 93.55% accuracy.
Predicts the likelihood of a heart attack based on clinical health parameters. Built an end-to-end ML pipeline featuring automated visualization (AutoViz) and rapid model benchmarking (PyCaret).
Embedded ML-controlled irrigation system using a Random Forest classifier on Arduino with real-time actuation based on environmental sensors.
A hybrid text analysis system blending machine-learning probability (Logistic Regression/TF-IDF) with fuzzy logic to provide human-interpretable sentiment levels via a custom Streamlit UI.
An interactive, web-based chatbot system featuring a custom HTML/CSS/JS frontend and a PHP/XAMPP backend, seamlessly integrated with the Botpress engine for smart conversational flows.
Indian Postal Services Hackathon (National Level)
2nd Place NationallyIntegrated M.Tech in Software Engineering
CGPA: 8.52/10
Sep 2022 - PresentBoard of Intermediate Education Telangana
Percentage: 93.1%
Jun 2020 - May 2022Telangana Board of Secondary Education
GPA: 10.0/10
Jun 2019 - Mar 2020