class AIEngineer:
def __init__(self):
self.name = "Sumit Kumar"
self.role = "AI/ML Engineer & Full Stack Developer"
self.education = "IIT Madras - BS in Data Science & Programming"
self.location = "Bengaluru, India"
self.expertise = [
"Generative AI & LLMs",
"Computer Vision & 3D Reconstruction",
"Backend Architecture & APIs",
"MLOps & Cloud Deployment"
]
def current_focus(self):
return {
"🔬 Research": "Multimodal AI & Time Series Forecasting",
"🏗️ Building": "AI-Powered Production Systems",
"📚 Learning": "Advanced Agent Architectures & Graph Neural Networks",
"🌟 Goal": "Transforming AI Research into Scalable Solutions"
}🔹 AI Engineer passionate about building impactful solutions in Computer Vision, NLP, and Generative AI
🔹 Skilled in designing end-to-end ML systems: RAG chatbots, 3D vision models, multimodal AI
🔹 Experienced in backend API development, microservices, and cloud-based MLOps
🔹 Thriving on turning complex AI research into production-ready solutions that drive real-world impact
|
🔹 AI Engineer Intern
|
🔹 AI/ML Research Engineer
|
🔹 Backend Developer (Freelancer) | ElitCeler Technologies | Aug 2025 - Oct 2025
- Architected RESTful APIs for 2 full-scale e-commerce platforms
- Built Bazar Story & Printrove WMS backends with 50+ endpoints
- Integrated AWS S3, Shopify OAuth, payment gateways
🔹 AI & Data Science Intern | HTS Tech Solutions | Mar 2025 - Jul 2025 | PPO Received ✅
- YOLOv11-based rust detection for cell towers: 85% accuracy
- 3D Model reconstruction using OpenMVG/OpenMVS
- Reduced model build time from 12 hours → 3-4 hours
- Report delivery time: 3 days → <24 hours
🔹 Product and AI (Freelancer) | Arfve | Stockholm, Sweden | Apr 2025 - Jul 2025
- AI agent-driven lead generation & automation
- UX improvements & prototype features for accelerator cohort
🔹 Full-Stack Developer | Devvoy | Jan 2025 - May 2025
- AI-powered therapy platform with LLM-driven dialogues
- Voice-enabled interactions using React, FastAPI, ElevenLabs TTS
- Mentored 3+ contributors on Git workflows & deployment
|
Automated trucking dispatch system with AI-powered voice calls Tech: FastAPI, PostgreSQL, Vapi.ai, Twilio Features:
|
Comprehensive code quality assessment across 10+ languages Tech: FastAPI, Google Gemini AI, FAISS, MongoDB
|
|
Scalable AI-powered voice calling platform Tech: Node.js, Twilio, Supabase, Groq, Deepgram
|
Full-stack chatbot with vector search and real-time processing Tech: Python, FAISS, Redis, Flask
|
|
CNN-based defect detection for manufacturing Tech: Keras, Flask, OpenCV, Node.js
|
YOLOv11 + 3D reconstruction pipeline Tech: YOLOv11, OpenMVG/OpenMVS, Node.js
|
📂 View More Projects | 📊 Data Science Projects
🥇 Top 3 in Industrial AI Solutions Hackathon (2024)
📰 Published Machine Learning research in IIT Madras Newsletter (Nov 2024)
👥 Led 200+ students programming community with Codeforces/LeetCode challenges
🎓 BS in Data Science & Programming from IIT Madras (2024-2027)
💼 PPO Received from HTS Tech Solutions (2025)
| Domain | Skills |
|---|---|
| 🤖 Generative AI | RAG Architecture, Multi-Agent Systems, Prompt Engineering, Function Calling, LangChain, LlamaIndex |
| 🧠 Machine Learning | CNNs, Transformers, Graph Neural Networks, YOLOv11, LoRA/QLoRA Fine-tuning, Multimodal AI |
| 🏗️ Backend Engineering | REST APIs, GraphQL, Microservices, JWT/OAuth, RBAC, API Gateway, Rate Limiting |
| ☁️ MLOps & Cloud | Model Deployment, Drift Detection, AWS SageMaker, Docker/Kubernetes, CI/CD Pipelines |
| 📊 Data Engineering | ETL Pipelines, Apache Spark/Kafka, Vector Databases, Big Data Processing |
| 🔧 System Design | Scalable Architecture, Load Balancing, Caching Strategies, Database Optimization |
🔬 Research:
- Multimodal Emotion Recognition with Graph Neural Networks
- Fashion Trend Forecasting using Ensemble Time Series Models
- Adaptive Modality Weighting for Robust AI Systems
🏗️ Building:
- AI-Powered Voice Communication Systems
- Document Processing Pipelines with OCR & LLM Integration
- Scalable RAG Architectures for Enterprise Applications
📚 Learning:
- Advanced Agent Architectures (ReAct, Reflexion)
- Real-time Streaming AI Applications
- Production MLOps Best Practices
