
Kshitij Rastogi
ID: CCE089578

About Kshitij Rastogi
I am Kshitij Rastogi, a final-year B.Tech. CSE (Big Data Analytics) student at SRM Institute of Science and Technology, maintaining a CGPA of 9.36. Passionate about transforming data into actionable intelligence, I specialize in Data Science, Machine Learning, and AI-driven systems that blend technical rigor with real-world impact. At ACG World, I engineered an AI-powered image clustering and annotation pipeline that reduced manual labeling by 90%, developed a GPT-integrated image classification system for technical manuals, and designed an IoT microservice architecture achieving 90% data reliability. These experiences refined my ability to design scalable systems combining AI, IoT, and data engineering principles. My academic and independent projects, such as VANI (a hybrid retrieval system for the Valmiki Ramayana) and H2O GuardX (a blockchain-secured ML framework for water safety), demonstrate my enthusiasm for LLMs, retrieval-augmented generation, explainable AI, and intelligent automation. With technical fluency in Python, SQL, TensorFlow, Scikit-learn, OpenCV, Power BI, and hands-on experience with tools like Docker, FastAPI, and FAISS, I aim to pursue a career in Data Science or AI Engineering, where I can bridge analytical insight and innovation. Outside academics, I’m a football enthusiast, former club captain, and a firm believer that discipline and teamwork off the field translate to precision and creativity in code.
Employment History

ACG WorldInvite company
5th Mar 2025 to 16th May 2025
Data scientist
5th Mar 2025 to 16th May 2025
Salary Package
Salary Hidden
Roles & Responsibility
As a Data Science Intern at ACG World, I developed end-to-end AI and IoT solutions for industrial automation. I built an HSV histogram + KMeans image clustering pipeline that categorized 5,000+ safety images, reducing manual labeling by 90%. I engineered a GPT-powered image extraction and classification system with MongoDB for technical manuals, improving retrieval speed and accuracy. Additionally, I designed a microservice-based IoT architecture integrating MQTT and OPC UA, achieving 90% data reliability and enabling real-time machine monitoring.
Skills
- • Excellent problem-solving, debugging, and analytical skills.
- • Proficiency in MySQL, with expertise in database schema design and query optimization.
Verification Pending
Education
COMPUTER SCIENCE
(Highest)SRM Institute of Science and Technology
17th Sep 2021 to 16th May 2025
