R

Rachna Mohapatra

I’m a 3rd-year BTech student specializing in software development with strong foundations in Data Structures, Algorithms, and full-stack web development. Passionate about building scalable, real-time applications and exploring AI/ML integrations. Currently seeking opportunities to learn, contribute, and grow as a Software Engineer at innovative product companies

Crafting exceptional digital experiences with passion, precision, and cutting-edge technology.

01.

About Me

I’m a 3rd-year BTech student specializing in software development with strong foundations in Data Structures, Algorithms, and full-stack web development. Passionate about building scalable, real-time applications and exploring AI/ML integrations. Currently seeking opportunities to learn, contribute, and grow as a Software Engineer at innovative product companies

02.

Skills & Expertise

• Languages: Java
C++
Python
C
JavaScript
TypeScript
SQL
HTML
CSS • Core CS: Object Oriented Programming (OOP)
Data Structures and Algorithms (DSA)
Operating systems (OS)
Computer networks (CN)
Database and management systems (DBMS) • Web Dev: React.js
Node.js
PostgreSQL
REST APIs
CI/CD (Netlify
GitHub Actions)
Tailwind CSS
Bootstrap • AI/ML: OpenCV
PyTorch
Whisper
LLMs (TinyLLaMA
Phi-2
OpenGPT)
NumPy
Matplotlib • Tools: Git/GitHub
Postman
Jupyter
VS Code
03.

Featured Projects

Phishing Simulation Platform

Built a responsive phishing simulation app with JWT-authenticated dashboards and real-time feedback, improving user engagement by 45%. Scaled backend for clickstream tracking and performance scoring, simulating 2K+ phishing events with <200ms latency.

Vendor Risk Evaluation Platform (Walmart Sparkthon)

Led a 4-member team to build a vendor security scoring platform with React, Node.js, and PostgreSQL. Architected backend APIs to reduce evaluation time by ~60%. Integrated live security APIs, deployed with Supabase and GitHub Actions under strict time constraints.

Fire & Gas Early Warning System (IoT Simulation)

Engineered an ESP32-based IoT hazard detection system with sensor fusion and interrupt-driven design for <1s response latency. Implemented multi-level alerts with real-time risk scoring for industrial safety monitoring, simulated on Wokwi.

Lightweight Speech-to-Text System for Atypical Speech

Developed a real-time STT web app for dysarthric and stuttering speech correction. Combined Whisper with lightweight LLMs (TinyLLaMA, Phi-2, OpenGPT) for transcript refinement. Designed CPU-optimized pipeline for low-latency audio processing and semantic correction.

04.

Work Experience

AI & Computer Vision Intern

Tata Steel Ltd

May 2025 - June 2025

Built thermal image classification and bar-counting systems using OpenCV and HOG+SVM, achieving 93%+ accuracy in noisy industrial settings. Trained YOLOv5 for billet corner detection and real-time diagonal length computation with <500ms latency. Developed watershed-based segmentation pipeline to automate quality analysis, reducing manual effort by 70%.

05.

Certifications

Google Cloud Gen AI Exchange Program | Google Cloud & Hack2Skill | 2025