class CharanSrinivas:
def __init__(self):
self.role = "AI Systems Engineer"
self.education = "B.Tech in AI & ML"
self.interests = [
"Generative AI",
"Computer Vision",
"RAG Systems",
"Autonomous AI",
"Healthcare AI",
"Human-AI Interaction"
]
self.current_work = [
"Building AI-powered systems",
"Fine-tuning LLMs",
"Developing RAG pipelines",
"Designing intelligent CV systems"
]
self.experience = {
"ISRO (NRSC)": "AI Project Intern",
"DiligenceVault": "Software Engineer Intern",
"Propit.AI": "Data Science Intern"
}
def vision(self):
return "Build autonomous AI systems that solve real-world problems at scale."I specialize in building:
- 🧠 Large Language Model Systems
- 📚 Retrieval-Augmented Generation (RAG)
- 👁️ Computer Vision Applications
- 🤖 Autonomous AI Pipelines
- 🌐 Full-Stack AI Platforms
- ☁️ Cloud-Deployed AI Infrastructure
I focus on transforming AI research into real-world production systems.
- Built scalable document intelligence pipelines
- Automated extraction and classification workflows
- Deployed optimized LLM systems on Vertex AI & Cloud Run
- Worked on low-latency AI inference pipelines
- Designed enterprise-grade AI knowledge systems
- Built semantic retrieval pipelines using vector databases
- Developed RAG systems with fine-tuned LLMs
- Reduced hallucinations using source-grounded responses
- Developed scalable data pipelines
- Automated web scraping systems
- Built backend APIs and frontend integrations
- Generative AI
- Retrieval-Augmented Generation (RAG)
- QLoRA / LoRA Fine-Tuning
- Semantic Search
- Prompt Engineering
- NLP
- Computer Vision
- Neural Networks
- Vertex AI
- Google Cloud Run
- AWS EC2
- AWS Lambda
- AWS S3
- DynamoDB
Qwen RAG QLoRA FAISS ChromaDB FastAPI
- Strategic business analysis
- Executive-level reasoning
- Scenario simulation
- Risk analysis
- Decision intelligence
🔗 Repository: https://github.com/Charanvas/qwen-business-judgment
LLMs OCR FastAPI React NLP
- Policy simplification
- Multilingual civic assistance
- OCR-based document analysis
- Government scheme guidance
🔗 Repository: https://github.com/Charanvas/civic-ai-policy-bridge
YOLOv8 OpenCV PyTorch
- Dental X-ray analysis
- Tooth segmentation
- AI diagnostics
- Medical image intelligence
🔗 Repository: https://github.com/Charanvas/Dental-Scan
MediaPipe OpenCV Computer Vision
- Eye tracking
- Attention analysis
- Gaze estimation
- Human-computer interaction
🔗 Repository: https://github.com/Charanvas/GAZETRACKING
React AI Recommendations FastAPI
- Smart dining recommendations
- Food intelligence
- Sentiment analysis
- Personalized restaurant discovery
🔗 Repository: https://github.com/Charanvas/DineVerse
Swin Transformer ArcFace OpenCV
- Drone surveillance
- Real-time face recognition
- Optimized inference pipelines
- AI-powered aerial intelligence
YOLOv8 OpenCV PyTorch
- Multi-object detection
- Real-time video inference
- AI surveillance
- Smart monitoring systems
🔗 Repository: https://github.com/Charanvas/ObjectDetection
- 🥇 1st Prize — Python Debugging Contest
- 🛰️ AI Intern at ISRO (NRSC)
- 💼 Software Engineer Intern at DiligenceVault
- 🤖 Built 6+ AI-powered systems
- 📚 Google Data Analytics Certified
- 🎓 NPTEL Certified in Deep Learning & Java
- Google Data Analytics Professional Certificate
- IBM Data Analysis with Python
- IBM Machine Learning with Python
- NPTEL Deep Learning
- NPTEL Java Programming
- Autonomous Intelligence
- Agentic AI Systems
- Generative AI Infrastructure
- Retrieval-Augmented Generation
- AI + Computer Vision Fusion
- Healthcare AI
- Human-AI Interaction
- Cognitive AI Systems
Building next-generation AI systems that combine reasoning, perception, memory, and autonomous intelligence to solve real-world problems at scale.