I am a highly driven Software Engineer specializing in the intersection of Full Stack Development and Artificial Intelligence. With a strong product-engineering mindset, I design, architect, and deploy highly scalable, enterprise-grade applications. My expertise lies in building resilient systems that leverage machine learning models to solve complex, data-intensive challenges. I am deeply committed to writing clean, maintainable code, adopting DevOps best practices, and actively contributing to the open-source ecosystem.
Open To: Full-time Software Engineering roles | Backend Architecture | AI/ML Integration | High-Impact Open Source Collaborations
| Domain | Proficiency | Details |
|---|---|---|
| Deep Learning | Advanced | CNNs, RNNs, LSTMs, Transformers, PyTorch, TensorFlow |
| Computer Vision | Advanced | Object Detection, Image Segmentation, OpenCV, YOLO |
| NLP & LLMs | Intermediate | Text Classification, RAG Architectures, HuggingFace, OpenAI API |
| Data Engineering | Intermediate | Data Pipelines, ETL, Pandas, NumPy, Scikit-Learn |
| MLOps | Intermediate | Model Deployment, CI/CD for ML, FastAPI, Dockerized Inference |
1. Enterprise Resource Planning (ERP) Ecosystem (Click to expand)
A comprehensive, distributed backend system engineered to manage large-scale organizational data, featuring automated workflows, real-time analytics, and secure microservices architecture.
| Metric | Detail |
|---|---|
| Stack | Next.js, Node.js, PostgreSQL, Redis, Docker, AWS EC2 |
| Scale | Capable of handling 10,000+ concurrent transactions |
| Performance | Sub-50ms API latency via Redis caching strategies |
| Security | Role-Based Access Control (RBAC), JWT Authentication, Data Encryption |
| Impact | Streamlined operational efficiency by 40% for simulated enterprise loads |
| Repository | View Source Code |
Professional Overview: Designed and implemented RESTful microservices with Node.js and Express, integrated a high-availability PostgreSQL database cluster, and utilized Docker for containerized, consistent deployment across AWS environments. Implemented robust CI/CD pipelines using GitHub Actions to ensure zero-downtime updates.
2. Autonomous Vision Intelligence System (Click to expand)
A state-of-the-art computer vision pipeline utilizing custom-trained neural networks for real-time anomaly detection in high-speed video streams.
| Metric | Detail |
|---|---|
| Stack | Python, PyTorch, OpenCV, FastAPI, React |
| Scale | Processes 60 FPS 1080p video feeds asynchronously |
| Performance | 98.4% model accuracy with inference optimization (TensorRT) |
| Security | Secure API endpoints with rate-limiting and IP whitelisting |
| Impact | Reduced manual surveillance analysis time by over 85% |
| Repository | View Source Code |
Professional Overview: Spearheaded the data collection, augmentation, and training of a modified YOLOv8 architecture. Engineered a high-throughput FastAPI backend to serve model inferences to a responsive React dashboard via WebSockets, ensuring ultra-low latency insights.
3. Scalable Web Socket Communication Hub (Click to expand)
A distributed, real-time messaging protocol designed for high-concurrency environments, supporting channels, direct messaging, and presence indicators.
| Metric | Detail |
|---|---|
| Stack | TypeScript, Next.js, Socket.io, MongoDB, Prisma |
| Scale | Supports 500,000+ simultaneous persistent connections |
| Performance | O(1) message routing using in-memory data grids |
| Security | WSS protocol, End-to-End Encryption (E2EE) architecture concepts |
| Impact | Achieved 99.99% uptime during intensive load testing |
| Repository | View Source Code |
Professional Overview: Architected a full-stack real-time engine with Next.js Server Components and Prisma ORM. Optimized database indexing to manage millions of message records and implemented a Redis pub/sub mechanism to synchronize state across multiple server instances horizontally.
Present
Actively collaborating on various high-impact open-source repositories, focusing on front-end accessibility, backend performance optimizations, and infrastructure management.
- Scope of Work:
- Diagnosed and resolved critical accessibility (a11y) issues in production-grade Next.js applications, implementing complex keyboard focus trapping and ARIA compliance.
- Authored technical documentation and architecture blueprints for distributed learning systems.
- Managed version control operations, maintaining high standards for code review, branching strategies, and CI/CD integrations.
- Skills:
Next.jsTypeScriptGit WorkflowOpen Source MaintenanceAccessibility (a11y)
| Recognition | Details |
|---|---|
| Top Performer in Global Hackathon | Engineered a scalable AI-driven web application within 48 hours, securing a top position for innovation and technical execution. |
| Open Source Contributor | Recognized by maintainers for providing zero-regression PRs and improving core repository functionalities. |
| Algorithm Optimization Specialist | Consistently achieved top percentiles in runtime and memory efficiency metrics on competitive programming platforms. |
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Current_Status:
Learning:
- "Advanced MLOps pipelines with Kubernetes"
- "System Design for High-Concurrency Distributed Systems"
Building:
- "Open-Source Campus Ecosystem Management Dashboard"
- "Enterprise-grade scalable REST architectures"
Exploring:
- "Rust for high-performance low-level networking"
- "Web3 and Smart Contract integrations"
Open_To:
- "Full-Time SWE / AI Engineering Roles"
- "Technical Speaking & Hackathon Mentoring"