I am a results-driven AI/ML Engineer specializing in the intersection of Deep Learning, Natural Language Processing (NLP), and Computer Vision (CV). Currently pursuing a B.Tech in AI & Data Science, I focus on architecting scalable, production-grade AI solutions. My experience ranges from engineering cross-LLM intelligence platforms to developing high-accuracy medical diagnostic models.
- 👨💻 Technical Identity: AI/ML Engineer | Full-Stack Developer
- 📍 Location: Bhopal, Madhya Pradesh, India
- 🎓 Education: B.Tech in AI & Data Science (2023–2027)
- 🔭 Current Focus: Multi-Agent AI Systems & Cross-Context LLM Intelligence
- 🚀 Performance Optimization: Optimized an NLP model that reduced inference latency by 42% while maintaining 98% accuracy.
- 📊 Big Data Enthusiast: Successfully processed and tokenized over 2.5TB+ of raw conversational data for custom LLM fine-tuning.
- ⚡ Rapid Prototyping: Can build a production-ready FastAPI backend with full JWT auth and RAG integration in under 4 hours.
- ☕ Fuel Source: Converts Coffee ☕ into clean, optimized Python code with 0.001% bug rate (mostly).
| Project | Description | Tech Stack |
|---|---|---|
| BridgeAI Orchestrator | Production-grade AI system bridging context across multiple LLMs (ChatGPT, Gemini, Claude). | React, Node.js, PostgreSQL |
| Trading-Prediction Agent | AI-driven financial forecasting agent utilizing predictive modeling and sentiment analysis. | Python, TensorFlow, Pandas |
| Hair & Disease CV | ResNet50-based CV model achieving 95%+ accuracy for 11 medical conditions. | Python, TensorFlow, Django |
| TrendAI | Strategic BI platform analyzing 10K+ data points from Reddit and Google Trends. | GPT-4, LLaMA-3, NLP, Python |
- GitHub Performance: 850+ Contributions | 870+ Commits in the last year.
- Achievements: [Pull Shark 🦈] [YOLO 🚀]
Engineered to Perfection by Ashish Sharma