Computer Science Engineering
Machine Learning & Deep Learning Explorer | LLM & RAG Builder | Python Developer | Final Year CSE Undergrad
Currently working on LangChain Agents & RAG Systems, TFLite Edge Deployments, and first-authoring a research paper on Multi-Modal Deepfake Detection. Exploring Multi-Modal Learning, MLOps, and System Design.
Portfolio
Production-ready AI systems with measurable impact and scalable architecture
Generate code using OpenAI's powerful models • Interactive Python interface • Simple setup and usage
AI-Powered Scheduling • Natural Language Processing • Calendar Integration
Additional Work
Full-stack applications and mobile solutions with proven user adoption
IEEE Conference • Smart city prototype • International presentation
Professional Journey
Building production-grade AI systems and driving innovation in healthcare technology
AI Chef
Healthcare + LLM Startup
Built custom LLM retrieval modules including hybrid BM25 + embedding search and query compression, enabling 2× faster multi-LLM workflows.
Designed and deployed a production-grade FastAPI backend with RAG endpoints, Bring-Your-Own-Key (BYOK) support, and vector databases (Qdrant).
Containerized the full stack (FastAPI, MongoDB, Qdrant) using Docker and iteratively improved healthcare recommendation quality using user interaction data.
Academic Contribution
Cutting-edge research in deepfake detection with state-of-the-art performance metrics
Developed a high-performance deepfake detection system using frame-level analysis and EfficientNet-based ensembles. The system combines robust preprocessing, facial alignment, and explainable AI techniques to achieve near real-time inference while maintaining strong generalization across benchmark datasets.
Professional Credentials
Industry-recognized certifications validating expertise in cloud AI and machine learning
Recognition
Recognition for technical excellence and leadership in competitive environments
Awarded for developing CNNs and facial artifact analysis system with innovation and real-world applicability
Winner - Multi-modal Deepfake Detection System
Secured 2nd place with improvements in video and image stream handling across platforms
Runner-up - Enhanced Deepfake Detection Project
Built end-to-end misinformation detection tool combining Deepfake Detection with LLM-based Fake News Detector
Gogte Institute of Technology
Presented Intelligent Transportation System at global conference
International Presentation - Paris
Under review in cybersecurity journal with 99.8% AUC performance
First Author - Multi-Modal Deepfake Detection
Technical Expertise
Proficient in modern AI/ML frameworks and full-stack development technologies
Python
C/C++
PyTorch
TensorFlow
Scikit-Learn
LangChain
LangGraph
RAG
Prompt Engineering
FAISS
Qdrant
Hybrid Search
TFLite
OpenCV
FastAPI
Flask
Hugging Face
Firebase
MySQL
Docker
GitHub
Professional Profile
Comprehensive overview of my professional experience, education, and technical expertise
Get a detailed overview of my academic background, technical skills, project experience, and professional achievements. Updated with my latest work in AI/ML and software development.