ROUSHAN KUMAR
|
Software Developer @ ACG Inspection | Computer Science & Engineering Graduate from NIT Tiruchirappalli
Building scalable solutions • Full-stack developer • Machine Learning enthusiast
About Me
I'm a Software Developer currently building innovative solutions at ACG Inspection, Hyderabad. A Computer Science & Engineering graduate from NIT Tiruchirappalli, I specialize in full-stack development, cloud technologies, and machine learning.
Currently working on the ALSC L4 Cloud Project, where I've authored ~80% of all unit test cases and developed end-to-end modules including Audit Trail and Serial Number Generation. Previously, I worked as a Research Consultant at WorldQuant, developing quantitative trading strategies and achieving 30% improvement in predictive accuracy.
I'm passionate about building scalable applications using modern tech stacks, implementing real-time systems, and solving complex problems with data-driven solutions. I've worked with technologies like React, Node.js, Python, AWS, Azure, and have experience in machine learning and NLP.
Technologies I work with:
Experience
Projects
Earned
Skills & Technologies
Programming Languages & Frameworks
Python
C++
Java
JavaScript
React
Redux
Node.js
.NET
Core Concepts & Tools
Data Structures
Algorithms
OOP
DBMS
Operating System
Computer Networks
System Design
Linux
Machine Learning
Cloud & DevOps
MongoDB
MySQL
Microsoft Azure
AWS
Git
CI/CD
Certifications
certification
Experience & Education
Software Developer
ACG InspectionHyderabad, Telangana, India
- Frontend and backend development on ALSC L4 Cloud Project, authored ~80% of all unit test cases
- Designed, developed, and maintained Audit Trail module end-to-end; contributed to Serial Number Generation module
- Resolved critical bugs/issues across application layers (frontend, backend, database)
- Implemented ESLint and Prettier for coding standards and quality
Research Consultant
WorldQuantRemote
- Developed quantitative trading strategies using historical market data
- Achieved 30% improvement in predictive accuracy using statistical learning
- Built end-to-end pipelines for data preprocessing, feature engineering, and model evaluation
Software Developer Intern
Exposys Data LabsBengaluru, Karnataka, India
- Built Credit Card Fraud Detection model using Python and logistic regression
- Pre-processed data, handled missing values, split datasets
- Conducted anomaly detection analysis for model enhancement
10th
Gyan Bharti model school(NAWADA)
Class 12th
T.S College(NAWADA)
B.Tech in Computer Science & Engineering
National Institute of Technology, TiruchirappalliFeatured Projects
CodeCampus - Online Learning Platform
Built full-stack e-learning platform with role-based access and secure content delivery. Implemented AWS S3 video upload/streaming, reducing buffering by 40%. Developed enrollment, progress tracking, quizzes, and analytics modules, increasing learner completion by 55%. Designed scalable REST APIs with Node.js and Express, reducing server response time by 30% under high load.
ChatApp - Real-Time Chat Application
Developed real-time chat application using Socket.io (sub-50ms latency, 500+ concurrent users). Implemented JWT-based authentication/authorization, reducing unauthorized access by 90%. Optimized React components and state management, improving page load time by 2.3 seconds.
