Headline

Fullstack Developer | MERN Stack | Learning AWS, Terraform & DevOps | Cybersecurity Enthusiast | Python & Linux | Open to Backend/Cloud Roles

About

B.Tech graduate specializing in backend development (Node.js, MERN stack) with project experience in building secure full-stack apps and LiDAR-based deep learning systems. Currently supporting enterprise cloud and device systems while actively learning Cloud Computing (AWS), Terraform, Linux, Python, and DevOps tools. Passionate about API security, infrastructure automation, and backend performance tuning. ✔ MERN, REST APIs, Git, MongoDB ✔ Real-time LiDAR filtering with CNNs (PyTorch) ✔ Interested in Backend | Cloud | Cybersecurity roles 💬 Open to freelance/remote/in-office opportunities. Let’s connect!

Location

Bengaluru

AI stack

antigravity

claude code

gemini

geminicli

openai

Work experience

Frontend Developer at RightSense Technologies Pvt. Ltd., Sep 2025 - Jan 2026 · 4 mo, Bengaluru, SmartRFP Project · Current Role Developing a responsive web-based RFP management application using React and TypeScript, deployed in Docker containers on VM infrastructure . Building and maintaining responsive user interfaces with React and TypeScript for seamless cross-device functionality Integrating frontend application with Flask backend APIs, implementing authentication flows and secure data management Containerizing web applications using Docker and configuring deployment pipelines for VM environments Configuring nginx proxy, managing CORS policies, and optimizing API communication between frontend and backend services Implementing mobile-responsive designs ensuring optimal user experience on various screen sizes Managing environment configurations with Vite and troubleshooting Docker networking for containerized applications Technologies: React, TypeScript, Docker, Flask API Integration, Nginx, Vite, Mobile-Responsive Design

Operations Support Engineer at Startek India, 2024 - 2025 · 1 yr, • Analysed operational, system, and service-level performance data across 50+ enterprise accounts (resolving 200+ monthly tickets) to identify recurring issues, anomalies, and process improvement opportunities. • Prepared and maintained daily, weekly, and monthly KPI and MIS reports covering SLA compliance, incident resolution turnaround, and hybrid Linux/Windows & AWS operational performance. • Performed rigorous data validation, consistency checks, and discrepancy analysis using SQL queries, Excel, and Python/Bash scripts to improve the reliability of operational reporting. • Automated recurring data verification and log-parsing workflows, reducing manual reporting effort by 15+ hours per month. • Reviewed operational metrics and summarised root-cause findings clearly for cross-functional engineering and management decision-making.

Research Intern – Feng Chia University, Taiwan at Feng Chia University, Sep 2023 - Apr 2024 · 8 mos, Taichung City, Taiwan, • Built CNN-based LiDAR filter (WeatherNet) with 85% accuracy under noisy conditions. • Compressed model size for real-time Jetson Nano inference. • Used PyTorch and WADS dataset with 128k+ frames.

Data Science Researcher at Feng Chia University, 2023 - 2024 · 1 yr, • Cleaned, preprocessed, and explored the large-scale WADS LiDAR dataset containing 128,000+ records using Python and PyTorch to identify data patterns and assess sensor data quality under adverse weather. • Benchmarked and compared analytical performance across 3+ filtering methodologies (LIOR, DSOR, AGDOR), documenting statistical precision-recall differences and key findings. • Contributed to developing and evaluating the WeatherNet CNN model, achieving 85% filtering accuracy and compressing model size by 77% (from 6.5 MB to 1.5 MB) for real-time edge inference.

Education

Bachelor's degree, Electrical, Electronics and Communications Engineering, Veltech Dr.RR Dr.SR University

+2, Cambridge Matric Hr Sec School