🚀 AI/ML Engineer | Researcher | Full-Stack Developer

I'm passionate about developing intelligent systems that solve real-world problems, with a focus on deep learning, computer vision, and research-driven AI applications. From building production-ready ML systems to conducting cutting-edge research, I love transforming complex ideas into impactful technological solutions.

• 🎓 Pursuing B.Tech in Computer Science (AI & ML) at VIT Bhopal University (3rd Year)
• 🔬 AI Research Experience in forensic applications and computer vision systems
• 🧠 Specialized in Deep Learning, Neural Networks, Computer Vision, and Scientific AI
• 🌍 Based in New Delhi, India

Frameworks: PyTorch • TensorFlow • Scikit-learn • OpenCV • MediaPipe

Architectures: Siamese Networks • CNNs • EfficientNet • NEAT NeuroEvolution

Specializations: Computer Vision • NLP • Similarity Learning • Neural Architecture Design

Languages: Python • C++ • Java • JavaScript • Swift • HTML/CSS

Backend: Flask • FastAPI

Mobile: React Native • Flutter

Tools: Power BI • Unity • OpenGL • PyMOL • Git

Academic Writing • Statistical Analysis • Experimental Design • Performance Evaluation

Deep Learning Approach Using Siamese Neural Networks

Similarity Learning System for forensic dental identification using Siamese CNNs with EfficientNet-B0. Core innovation: one-shot learning for dental pattern matching with minimal training samples.
Impact: 10x faster processing than manual forensic analysis with 92% accuracy
🛠 PyTorch, Siamese Networks, EfficientNet, DENTEX Dataset, Academic Research

Real-time Speech-to-Speech Translation System

End-to-end multilingual pipeline combining speech recognition, neural translation, and synthesis. Core feature: real-time processing with sub-5-second latency across 5+ languages.
🛠 Whisper, Tacotron, Google Speech API, Real-time Processing

Intelligent Location Discovery Platform

ML-powered recommendation engine with geospatial analysis and user preference learning. Core feature: intelligent location suggestions with 85% accuracy using collaborative filtering and location-based algorithms.
🛠 Flask, PostgreSQL, JavaScript, System Architecture

The Agent-Driven VR Courtroom

Immersive justice platform orchestrating remote hearings in VR. Core feature: AI Agent "Themis" that autonomously manages court flow, transcription, and interactive evidence display to enforce procedural decorum. 🛠 Unity, Inya.ai, Google Gemma, Gnani.ai, VR Architecture

Advanced Genetic Algorithm Implementation

Evolutionary AI training system using NEAT algorithm. Core feature: genetic neural network evolution that trains game-playing agents without supervised data through natural selection.
🛠 NEAT, Genetic Algorithms, Pygame, Performance Optimization

Real-time Human-Computer Interaction Systems

Gesture-based interface collection featuring air writing recognition and hands-free navigation. Core feature: real-time human-computer interaction with <100ms response time for accessibility applications.
🛠 OpenCV, MediaPipe, Real-time Processing, PyAutoGUI

• 🔬 Research Implementation: Developed academic-grade AI system for forensic applications
• ⚡ Performance Optimization: Achieved <100ms latency in real-time CV systems
• 📊 Data Processing: Handled 1000+ concurrent users in production applications
• 🧠 Algorithm Design: Implemented advanced neural architectures (Siamese, NEAT)
• 📱 Full-Stack Proficiency: End-to-end development from ML models to mobile apps

LeetCode	HackerRank

• Research Mindset: Academic-level rigor with practical implementation skills
• Production Experience: Scalable systems handling real-world constraints
• Full-Stack Capability: End-to-end AI product development
• Performance Focus: Optimization for latency-critical applications
• Diverse Domains: Experience across computer vision, NLP, and AI

• 📧 Email: ojhavipransh@gmail.com
• 💼 LinkedIn: vipransh-ojha
• 🌐 Portfolio: my-portfolio

⚡ Actively seeking SDE AI/ML internship opportunities to contribute to cutting-edge AI systems. Ready to tackle complex problems with innovative solutions!