Oct 2024 – Jan 2025 · 3 mos · United States · Remote

• Deployed Galaxy for multiple clients by 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 ML models on client samples 𝗵𝘆𝗽𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗿𝗮𝗹 𝗶𝗺𝗮𝗴𝗲𝘀.
• Automated the process of Hyperspectral Image 𝗰𝗮𝗺𝗲𝗿𝗮 𝗰𝗮𝗹𝗶𝗯𝗿𝗮𝘁𝗶𝗼𝗻 increasing the process efficiency and reducing the manual efforts.

Sep 2024 – Jul 2025 · 10 mos · United States · Remote

• Building a generative storytelling web app using LLaMA, 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 with QLoRA by utilizing a custom dataset, and integrating evaluation for toxicity filtering & age-appropriate vocabulary.
• Engineering a collaborative filtering 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺 to suggest personalized story topics based on user demographics.

May 2022 – Oct 2022 · 5 mos · Bengaluru, Karnataka, India

• 𝗢𝗿𝗱𝗲𝗿 𝗥𝗲𝘁𝘂𝗿𝗻 𝗣𝗿𝗼𝗰𝗲𝘀𝘀: Developed and optimized quantized object detection model to automate order return approvals for electronic products reducing processing time from 6 hours to 15 seconds.
• 𝗖𝗼𝘂𝗻𝘁𝗲𝗿𝗳𝗲𝗶𝘁 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Developed a pipeline to flag counterfeit products (key brands like Apple & Samsung) leveraging Computer Vision & Natural Language Processing for product screening. This feature reduced manual efforts by 30% and accelerated the process by 70%.
• 𝗖𝗮𝘁𝗮𝗹𝗼𝗴𝘂𝗲 𝗥𝗲𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗶𝗻𝗴: Performed in-depth exploratory data analysis on product attributes to drive data-informed decisions for catalog restructuring.
• 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Conducted in-depth data analytics using SQL, and GCP BigQuery. Developed comprehensive dashboards and visualizations using Python and Tableau to provide actionable insights and enhance decision-making.

Sep 2021 – Dec 2021 · 3 mos · Roorkee, Uttarakhand, India

• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗧𝗶𝘁𝗹𝗲: Feature Selection with Grey Wolf Optimization
• 𝗠𝗲𝗻𝘁𝗼𝗿: Dr. Kusum Deep, Department of Mathematics (IIT Roorkee)
• Developed 𝗣𝘆𝘁𝗵𝗼𝗻 programs for feature selection optimization techniques using Grey Wolf Optimization (GWO) techniques.
• Tested feature selection methods based on Random Walk Grey Wolf Optimization (RW-GWO) over multiple datasets.

Jul 2021 – Apr 2022 · 9 mos

• Deployed Predictive Analytics pipelines (Django & JavaScript) to 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗰𝗹𝗶𝗲𝗻𝘁 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 (HR Tech) using 𝗘𝗧𝗟/𝗘𝗟𝗧 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 (Python, AWS, SQL), 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (Python), & 𝗔/𝗕 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 (VWO).
• Developed Employee Attrition (estimate resignation chances), Promotion Suggestion (recommend employees for promotions), Hike Estimation (suggest salary hikes per employee), & Leave Prediction (predict employees leaves for 30 days) features for 12 clients.
• Optimized data infrastructure to reduce model update latency from 45 to 10 minutes by leading 𝗘𝗧𝗟 𝗿𝗲𝗱𝗲𝘀𝗶𝗴𝗻 and 𝗰𝗿𝗼𝘀𝘀-𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 with backend and data warehousing teams.
• Designed and executed 𝗔/𝗕 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 on the predictive analytics page to help the design team optimize UX based on user engagement insights.

Apr 2021 – May 2021 · 1 mo

• Leveraged Data Analytics, Machine Learning Techniques, and A/B Testing using 𝗣𝘆𝘁𝗵𝗼𝗻 (𝗣𝗮𝗻𝗱𝗮𝘀, 𝗡𝘂𝗺𝗽𝘆, 𝗦𝗰𝗶𝗸𝗶𝘁 𝗟𝗲𝗮𝗿𝗻) 𝗮𝗻𝗱 𝗔𝗪𝗦 (𝗦𝟯, 𝗘𝗠𝗥, 𝗥𝗲𝗱𝗦𝗵𝗶𝗳𝘁) to perform automated quality assessment of agricultural produces.
• Deployed AI models using 𝗖++ after training Machine Learning algorithms on Hyperspectral Images of fresh produces.

Sep 2020 – Jun 2021 · 9 mos · Roorkee, Uttarakhand, India

• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗧𝗶𝘁𝗹𝗲: Semantic Segmentation of Ocular Images
• 𝗠𝗲𝗻𝘁𝗼𝗿: Dr. Mayank Goswami, Department of Physics (IIT Roorkee)
• Experimented on 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀 (PyTorch, TensorFlow, and Keras) for 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝘀𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 to estimate ocular tumor growth and trends. Trained multiple U-Net architecture models over annotated 𝗢𝗖𝗧-𝗕 Scans.
• Developed an 𝗶𝗺𝗮𝗴𝗲 𝗮𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝘁𝗼𝗼𝗹 (MATLAB) reducing annotation time by 85–90% (from 30 to 3 days), eliminating dependence on external services, and enabling faster & more accurate model training across multiple ongoing projects of the lab.

Jun 2019 – Jul 2019 · 1 mo

• Deployed library extension for Material Studio (Forcite module) to calculate the contact angle and motion of a liquid droplet on an inclined surface coated with super-hydrophobic polymers using PERL scripts for Dr. Gaurav Manik (Associate Professor, Department of Polymer Science, IIT Roorkee).