AI & Full Stack Developer | Computer Vision Specialist | Blockchain Innovator
I'm a Full-Stack AI Engineer building production-grade intelligent systems that bridge the gap between cutting-edge ML research and real-world applications. With expertise spanning Machine Learning, Computer Vision, Blockchain, and IoT, I design complete end-to-end solutions that scale.
π― What drives me:
- Building AI systems that are intelligent, efficient, and deployment-ready
- Solving complex problems at the intersection of AI and infrastructure
- Creating meaningful impact through technology accessibility and innovation
- Contributing to open-source and collaborative engineering
Currently: Exploring AI Agents, YOLO-based real-time systems, Edge AI optimization, and Blockchain automation β where latency matters and every millisecond counts.
Specialized Tools: YOLO, OpenCV, PyTorch, FastAPI, LangChain, Pandas, NumPy
- π€ AI Agents & Intelligent Automation β Building autonomous systems with tool use and memory
- ποΈ Computer Vision β YOLO detection, real-time classification, edge optimization
- π¦ MLOps & Model Deployment β Production pipelines, monitoring, versioning
- π³ Containerization & Orchestration β Docker, scalable cloud deployments
- βοΈ Backend Architecture β High-performance APIs, system design, microservices
- π Full Stack Development β MERN/Next.js, responsive UX, scalable frontends
- π Blockchain & Smart Contracts β Ethereum, Web3 integration, decentralized systems
- π€ IoT & Edge Computing β Embedded systems, real-time data processing
Intelligent Career Guidance & Skill Matching Platform
Tech Stack: Python, Machine Learning, NLP, React, Node.js, MongoDB, TensorFlow, FastAPI
Revolutionizing career development through AI-powered skill analysis and intelligent matching:
- π― Analyzes user profiles and learning patterns to recommend personalized skill paths
- π Connects skills to real-world opportunities using semantic matching
- π Tracks skill progress with data-driven insights
- π Provides actionable learning recommendations aligned with market demand
Key Achievement: Processed 10K+ user profiles with 94% accuracy in skill matching
Real-Time Object Detection & Edge AI Pipeline
Tech Stack: Python, YOLO v8, OpenCV, Edge AI, TensorRT, FastAPI
A high-performance object detection system optimized for both cloud and edge deployment:
- β‘ Real-time detection at 60+ FPS on edge devices
- π¬ Fine-tuned YOLO models for custom domains
- π― Inference optimization using TensorRT and quantization
- π± Mobile-ready with minimal latency impact
- πΌοΈ Advanced preprocessing and post-processing pipelines
Impact: 3x faster inference on Nvidia Jetson, 96% accuracy on custom dataset
Machine Learning-Based Fraud Detection
Tech Stack: Python, Scikit-learn, XGBoost, Pandas, SQL, Feature Engineering
Advanced ML pipeline for identifying malicious and fraudulent accounts at scale:
- π Multi-faceted behavioral, profile, and activity-based feature engineering
- π Ensemble ML models with 89% precision and 91% recall
- β‘ Scalable preprocessing pipeline handling millions of records
- π Real-time anomaly detection and alerting system
- π Interpretable predictions with feature importance analysis
Performance: Analyzed 500K+ accounts, prevented 15K+ fraudulent activities
Production MLOps Workflow & CI/CD
Tech Stack: Docker, FastAPI, Kubernetes, GitHub Actions, AWS/GCP, Prometheus, ELK Stack
Building the backbone for production AI systems:
- π Containerized model serving with zero-downtime deployments
- π Comprehensive monitoring and performance tracking
- π Automated CI/CD pipelines with GitHub Actions
- π Model versioning and A/B testing framework
- π Horizontal scaling with Kubernetes orchestration
- π Real-time metrics collection and alerting
Achievement: Reduced deployment time from 2 hours to 15 minutes
π§© Cardano AI Agent
AI-Powered Blockchain Intelligence Assistant
Tech: Node.js, CardanoScan API, LLM Integration, Discord/Telegram Bot, Web Interface
An intelligent blockchain assistant that democratizes access to Cardano blockchain data through natural language:
Features:
- π° Instant wallet balance lookup and transaction history
- π Address analytics and holder insights
- π Transaction verification and validation
- π€ Multi-channel deployment (web, Discord, Telegram)
- π Secure API integration with blockchain nodes
Real-world Use: 500+ active users, 10K+ queries processed
π¦― Blind Man Stick
IoT Assistive Device for Visually Impaired
Tech: Arduino, Ultrasonic Sensors, DHT22, IoT, Real-time Processing
An innovative wearable IoT device providing safety and environmental awareness:
Capabilities:
- π§ Real-time obstacle detection within 2-meter radius
- π‘οΈ Environmental monitoring (temperature, humidity)
- π³ Multi-sensory alerts (haptic feedback, audio cues, buzzer)
- π Power-efficient design for 8+ hours operation
- π― Intuitive, hands-free navigation
Recognition: Featured in accessibility tech communities
π₯ Pulse Appoint
Doctor Appointment Booking Platform
Tech: MERN Stack, Razorpay API, Real-time Notifications, JWT Authentication
A comprehensive healthcare booking solution streamlining patient-doctor interactions:
Features:
- π¨ββοΈ Real-time doctor availability and scheduling
- π³ Secure payments via Razorpay integration
- π§ Automated email/SMS notifications
- β Patient reviews and doctor ratings
- π Role-based access control (patient, doctor, admin)
Growth: 500+ active users, 2K+ appointments booked
π
ΏοΈ ParkEase
Intelligent Parking Management System
Tech: AI/ML, Node.js, MongoDB, React, Predictive Analytics
Solving urban parking challenges with ML-powered availability prediction:
Features:
- π€ Predictive algorithms forecasting parking space availability
- π Real-time booking and reservation system
- πΉ Dynamic pricing based on demand and location
- π Analytics dashboard for parking operators
- πΊοΈ Intuitive map-based UI for quick spot discovery
Impact: Reduced average parking search time by 40%
- π Building from zero to one β turning ideas into production systems
- π€ AI at the edge β making intelligent systems accessible on constrained devices
- π Deep problem-solving β understanding requirements and shipping solutions
- π Open-source impact β contributing to community-driven innovation
- π Knowledge sharing β documenting learning and helping others grow
Q1 2024: Scaling SkillBridge-AI to 100K users
Q2 2024: MLOps pipeline optimization & deployment automation
Q3 2024: Computer Vision model compression for edge devices
Q4 2024: Blockchain integration in core applications
I'm actively seeking partnerships and collaborations on:
- π AI/ML Products β Building intelligent applications with real users
- πΌοΈ Computer Vision Systems β Edge AI, real-time detection, visual understanding
- π» Full Stack Startups β End-to-end engineering from architecture to deployment
- βοΈ Blockchain Automation β DeFi protocols, smart contracts, Web3 products
- π± Social Impact Projects β Technology for accessibility, healthcare, education
If you're building something impactful, let's talk. π
- Actively exploring: Retrieval-Augmented Generation (RAG), Vision Transformers, Reinforcement Learning
- Published: Technical blog posts on AI deployment and system design
- Community: Active contributor to open-source ML and Web3 projects
π "From conception to deployment β building AI systems that are intelligent, scalable, and make a real difference in the world."


