• 🧠 AI & System Architecture: Specializing in engineering end-to-end intelligent systems that connect predictive models with robust backend APIs and real-world hardware.
• ⚙️ Backend & Databases: Proficient in designing RESTful services, database schemas, and microservice pipelines using Python, Java / Spring Boot, FastAPI, and PostgreSQL.
• 🔌 IoT & Hardware Telemetry: Experienced in capturing live sensor data via microcontrollers to drive edge intelligence and automated monitoring.
• 🎯 Engineering Goal: Building complete, scalable software architectures over single-layered models or basic frontends.

┌──────────┐    ┌──────────┐    ┌──────────────┐    ┌──────────┐    ┌──────────┐    ┌──────────────────┐
│  Problem │ ──>│   Data   │ ──>│ Intelligence │ ──>│ Backend  │ ──>│  System  │ ──>│ Real-World Impact│
└──────────┘    └──────────┘    └──────────────┘    └──────────┘    └──────────┘    └──────────────────┘

"Software becomes truly powerful when predictive data models interface seamlessly with reliable backend infrastructure to deliver real-world execution."

Python • PyTorch • TensorFlow • OpenCV • YOLO • OpenVINO • Scikit-Learn • LLM Integration • OCR

Developing computer vision pipelines, anomaly detection algorithms, and LLM-driven automation tools.

FastAPI • Spring Boot • REST APIs • PostgreSQL • MySQL • Supabase • H2

Architecting high-performance REST APIs, relational schemas, rate limiters, and microservice workflows.

Arduino Uno • ESP8266 / ESP-01 • Sensor Integration • IoT Communication • Telemetry Design

Interfacing physical hardware sensors with cloud and edge backends for real-time monitoring.

Python • Java • C++ • SQL

Writing clean, object-oriented, and memory-efficient code across backend and hardware systems.

React • Next.js • JavaScript • HTML5 • CSS3 • Docker • Git • Postman • VS Code • IntelliJ IDEA

Building dynamic interfaces and utilizing modern containerization and version control tooling.

An end-to-end AI healthcare ecosystem combining real-time telemedicine, predictive risk scoring, and hardware vital telemetry.

Web / Mobile Clients ──> FastAPI Backend ──> Supabase PostgreSQL (RLS) ──> AI / OCR / External APIs

• Core Technologies: Next.js, React Native / Expo, FastAPI, Supabase PostgreSQL (RLS), WebRTC, Gemini, Llama/Ollama, Tesseract OCR, openFDA API, Google Fit.
• Key Features:
  • Telemedicine Suite: Peer-to-peer WebRTC video consultations with live clinical summary generation.
  • Emergency QR Patient Passport: Instant critical health data access for emergency responder triage.
  • Predictive Risk & SDOH Analysis: ML models analyzing health risk parameters and Social Determinants of Health.
  • Safety & Verification: Automated drug interaction verification (openFDA API) and prescription OCR parsing (Tesseract).
• 🔗 Explore CuraTrack Repository

Enterprise-ready personal finance platform with multi-currency tracking, portfolio analytics, and automated advisory guidance.

• Core Technologies: Express, TypeScript, Prisma, PostgreSQL, JWT (Rotating Refresh Tokens), Rate Limiting, AI Assistant.
• Key Features:
  • Net worth calculation engine, asset holding distribution, and life-event financial guidance.
  • Multi-tier authentication pipeline with rotating refresh tokens, password hashing, and endpoint rate limiting.
  • Relational database architecture designed using Prisma ORM and PostgreSQL.
• 🔗 Explore Financial OS Repository

Reactive budget management and expense analytics application engineered for interactive data visualization.

• Core Technologies: Next.js, React, Supabase, React Query, Axios, Zod, React Hook Form, Recharts.
• Key Features:
  • Strict schema-validated financial input workflows powered by React Hook Form & Zod.
  • Asynchronous client-side state management and data caching via React Query.
  • Interactive expense telemetry dashboards visualized with Recharts.
• 🔗 Explore FinBud Repository

Evaluation platform analyzing developer portfolios and resume keywords to predict internship readiness.

• Core Technologies: Python, Streamlit, GitHub API, Resume Parsing NLP.
• Key Features:
  • GitHub repository parsing and keyword extraction to evaluate project execution depth.
  • Automated candidate scoring paired with a customized skill improvement roadmap.
• 🔗 Explore Readiness Engine Repository

Hardware-integrated safety monitoring system analyzing multi-sensor telemetry for hazard detection.

• Core Technologies: Arduino / ESP8266, Sensor Telemetry, Scikit-learn (Random Forest), FastAPI, Streamlit.
• Key Features:
  • Multi-sensor IoT telemetry collection pipeline built for continuous environment monitoring.
  • Machine learning classification using Random Forest models to detect hazards and trigger real-time alerts.

Multi-tenant DBMS web application handling customer ordering, vendor fulfillment, and administrator analytics.

• Core Technologies: Flask, MySQL, Streamlit.
• Key Features:
  • Real-time customer cart ordering, vendor token tracking, and order fulfillment workflows.
  • Administrator analytics dashboard tracking sales volume, revenue metrics, and vendor performance.
• 🔗 Explore Food Court Repository

Enterprise RESTful microservices demonstrating Java architecture, DTO patterns, and database persistence.

• Core Technologies: Java, Spring Boot, REST APIs, PostgreSQL / H2, DTO Pattern, Validation & Exception Handling.
• Repositories & Modules:
  • E-Commerce Backend: Role management, product catalog, reseller rating engine, and order lifecycle.
  • Student Management & Library APIs: Modular CRUD REST APIs with structured DTO mapping and global error handling.
• 🔗 Explore Spring Boot E-Commerce Repository

• Designed and maintained RESTful services and APIs using Java and Spring Boot.
• Participated in relational database schema design, query structure, and data management in PostgreSQL.
• Performed end-to-end API testing, validation, and request debugging using Postman.
• Managed version control workflows, branch integration, and code commits using Git.

• ⚡ Distributed Backend Systems: Advanced Spring Boot microservice architectures, caching, and rate limiting.
• ☕ Enterprise Java Engineering: Deepening design patterns, Spring Security, and database performance tuning.
• 🔌 Edge AI & Telemetry: Deploying optimized ML models directly to edge/IoT hardware pipelines.

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