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FULL STACK

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BACKEND FOCUS • SYSTEM DESIGN • CLOUD NATIVE • 

BACKEND FOCUS • SYSTEM DESIGN • CLOUD NATIVE • 

Backend-Focused Full Stack Developer with experience building scalable web applications using FastAPI, React, Angular, PostgreSQL, and Docker. Skilled in designing secure REST APIs, implementing authentication systems, and developing responsive frontend interfaces.

ABOUT ME • EXPERTISE • PROJECTS • EDUCATION • EXPERIENCE •  ABOUT ME • EXPERTISE • PROJECTS • EDUCATION • EXPERIENCE • 

Experience

Labmentix

Jan 2026 - Jul 2026

Full Stack Developer Intern (Remote)

Developed full-stack web applications using FastAPI, React, Angular, and PostgreSQL. Built and integrated secure REST APIs with JWT authentication, RBAC authorization, and optimized query performances.

Zephyr Technologies

May 2025 - Jun 2025

Data Science Intern (Bengaluru)

Developed predictive models for heart disease detection using machine learning techniques. Performed exploratory data analysis, feature engineering, and model optimization using Pandas, NumPy, and Matplotlib.

Technical Matrix

Languages & Frameworks

Python, JavaScript, TypeScript, SQL, FastAPI, Node.js, Express.js, React.js, Angular, Tailwind CSS

Databases & DevOps

PostgreSQL, MySQL, MongoDB, Docker, Git, GitHub, AWS (Basics), CO/CD pipelines, SQLAlchemy

Core Architecture Concepts

System Design, Authentication (JWT), Role-Based Access Control (RBAC), API Design, Microservices, Scalable Architectures

SELECTED
PROJECTS

Production-ready engineering deployments, satellite digital twins, and security architectures.

01

AETHER-1

Python, FastAPI, PostgreSQL, Telemetry Systems, Edge AI

Designed a software-defined CubeSat architecture for real-time telemetry simulation. Engineered a synchronized data processing pipeline with edge AI using Random Forest models for predictive fault and anomaly detection. Configured low-bandwidth communication simulation using LoRa and CRC validation.

02

AI Phishing Detection Engine

Python, FastAPI, Machine Learning, MLOps, PostgreSQL

Engineered an intelligent, end-to-end phishing detection platform leveraging machine learning classifiers to analyze and flag malicious URLs and email vectors in real-time. Built high-throughput asynchronous inference pipelines with FastAPI, implemented robust feature extraction mechanics, and established a structured, tamper-resistant logging architecture for threat intelligence tracking.

03

Bug Tracker

React, FastAPI, PostgreSQL, JWT, RBAC

Built a full-stack modular issue management platform utilizing clean architecture principles. Configured flexible RBAC user workflows, interactive management dashboards, and highly optimized relational database schemas tracking system states and granular audit logs.

04

TaskFlow

React, FastAPI, PostgreSQL, Docker

Designed a collaborative team management utility handling task assignments, notification loops, and contextual real-time feeds. Containerized the decoupled application layout using Docker engines for cross-environment consistency.

Education Hierarchy

  • Srinivas University (IET)
    B.Tech in Computer Science | CGPA: 8.8 (Nov 2022 - Apr 2026)
  • Sri Adichunchanagiri Independent PU College
    Pre-University (PUC) | 90% (Sep 2020 - Apr 2022)
  • Sri Adichunchanagiri Composite English Medium High School
    Secondary School Leaving Certificate (SSLC) | 92% (May 2019 - July 2020)

Selected Milestones

  • 1st Place - Major Project Exhibition for AETHER-1 Digital Twin.
  • KSCST Grant Sponsorship - Selected under the prestigious 49th Student Projects Programme.
  • 1st Place - Inter-College Smart India Hackathon (SIH) for Digital Farmer App.
  • Production Implementations - Built multiple functional backends deploying JWT, RBAC systems, and custom secure cloud environments.

Publications

A Systematic Review of Federated Learning Algorithms for CubeSat and LEO Satellite Systems

Presented at ICKECS 2026. Evaluated core communication efficiencies, synchronization models, and trade-off matrix deployments for mission-critical orbit layouts.