Headline

Data Engineer @ ALGO8 AI • Ex-Intern @Fidrox Technologies • Ex-Intern @SPATIALTY.AI • RGIPT ’26

About

As a Senior at Rajiv Gandhi Institute of Petroleum Technology (RGIPT), my adventure into the realm of Artificial Intelligence and machine learning has been nothing short of thrilling. It all began with a spark of curiosity about how technology could address real-world challenges. Each line of code I write feels like I'm unlocking new possibilities for innovation and discovery. My internships at Fidrox Technologies and Spatialty.AI deepened this passion, allowing me to explore cutting-edge solutions that can make a genuine impact. One of my proudest moments was during my time as a Teaching Volunteer with Gyanarpan, where I developed tailored lesson plans for 12th-grade students. This effort led to a remarkable 30% increase in class engagement over six months! It was incredibly rewarding to see students grasp complex subjects more easily while igniting their interest in learning. This experience taught me the importance of clear communication and adaptability—skills I actively apply in every project I undertake. In addition to my technical pursuits, I've also taken on leadership roles within my university community. As part of the Outreach Committee for the Department of Mathematical Sciences, I've collaborated with faculty and peers to design workshops aimed at sparking interest in mathematics among local students. It's fulfilling to contribute positively to my community while honing my organizational skills along the way. Currently, I'm also involved as a Technical Team Member for the OWASP RGIPT Student Chapter where I'm exploring different career pathways while enhancing my skills further. Additionally, as the Speaking Arts Nominee for the Cultural Council at RGIPT, I've been fortunate enough to help plan major cultural events—showing that creativity is just as important as technical knowledge! If you're interested in discussing innovative AI projects or collaborative opportunities—or simply want to share ideas—feel free to reach out via email! Let’s connect and explore how we can push boundaries together. Skills: - Artificial Intelligence - Machine Learning - Coding (Python) - Communication (soft skills) - Community Outreach

Location

Bengaluru

AI stack

antigravity

claude

hugging face

langchain

openai

opencode

Work experience

Data Engineer at Algo8 AI, Feb 2026 - Present · 7 mos, Remote, As a Data Engineer at Algo8, I focus on building the production-ready data backbone necessary for high-performance AI systems. I architect robust ETL pipelines that efficiently migrate and transform data from EC2 to S3, ensuring the high data quality and low latency that NeoStats requires for its analytical models. My deep experience with PySpark allows me to handle large-scale data processing and feature engineering, while my use of AWS Lambda and EC2 demonstrates my ability to manage event-driven MLOps environments. Beyond backend infrastructure, I’ve also developed a native website for intern management, proving I can build the front-end interfaces needed to deliver AI insights to end-users.

Intern at Fidrox Technologies Pvt Ltd, May 2025 - Aug 2025 · 4 mos, Bengaluru, Karnataka, India, As part of the Access AI project, I led the end-to-end development of a data-driven anomaly detection system for physical access control logs using advanced Data Science techniques. I performed data preprocessing, feature engineering (hourly patterns, direction, access results), and implemented clustering algorithms like K-Means and DBSCAN for behavioral pattern discovery. To detect irregular swipe behaviors, I applied statistical methods (Z-score, IQR) and unsupervised ML models such as Isolation Forest and One-Class SVM. For deeper sequence modeling, I explored LSTM-based time-series models to capture access anomalies over time. I visualized behavior clusters and anomaly trends using Matplotlib and Seaborn. The project delivered actionable insights for insider threat detection and access policy optimization. All development was done in Python using scikit-learn, pandas, and Jupyter Notebook.

Undergraduate Research Intern at Rajiv Gandhi Institute of Petroleum Technology (RGIPT), Feb 2025 - Mar 2025 · 2 mos, Amethi, Uttar Pradesh, India, In this project, I conducted a comprehensive analysis of loan data, covering preprocessing, exploratory data analysis, and predictive modeling. Python served as the primary tool for data manipulation, visualization, and implementing machine learning models, leveraging libraries such as pandas, matplotlib, seaborn, and scikit-learn. Among the tested Machine Learning models, Logistic Regression achieved the highest accuracy. XGBoost followed closely as the second-best performer. The results highlight their effectiveness in this specific dataset.

Tech Writer and Consultant Intern at ML360 Educations, Aug 2024 - Oct 2024 · 3 mos, Remote, During my 2-month internship at ML360 Educations Pvt. Ltd. as a Content Writer & Co-admin, I actively contributed to content creation, customer engagement, and business development. I collaborated on content strategies, wrote for blogs, projects, and social media, and researched top writing and design tools to enhance quality. Leveraging my web development skills, I optimized website content and improved the overall user experience. Additionally, I developed expertise in prompt engineering, applying it to streamline content workflows and enhance AI-generated outputs for various digital platforms.

Intern at SPATIALTY.AI, May 2024 - Jul 2024 · 3 mos, Bengaluru, Karnataka, India, In this project, I utilized Gabor Filtering and Multi-Otsu segmentation to process and analyze satellite images. Gabor Filters, which use parameters such as kernel size, wavelength, orientation, standard deviation, aspect ratio, and phase offset, helped determine specific textures and structures in the images. By varying these parameters, I could adjust the images to achieve the required textures. Additionally, I gathered raw image data and employed Object-Detection techniques to extract vehicle objects from each image using Makesense.ai. This approach enhanced the accuracy of texture recognition and object detection, providing more detailed and reliable image analysis.

Education

Bachelor's degree, Mathematics and Computing, Rajiv Gandhi Institute of Petroleum Technology (RGIPT)

Primary to Higher Secondary, Mathematics Science and Computer Science, Kensri School - India

Public links

github: https://github.com/Divyaanshvats

leetcode: https://leetcode.com/divyaanshv

divyaanshvats.lovable.app: https://divyaanshvats.lovable.app/