Purdue University | Joint MS in Computer Science and Statistics (GPA: 3.76/4.0)

Courses: Design of Experiments | Algorithms | R Programming | Statistical Inference | Statistical Methodology

Pune University | Bachelor of Technology in Information Technology (GPA: 9.86/10)

Courses: Data Structures | Algorithms | Machine Learning | Artificial Intelligence | Database Management Systems | Web Development | Operating Systems | Computer Networks | Software Engineering | Human-Computer Interaction

Machine Learning Engineer Intern | Cook Medical

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  Project 1 : Developing "Complaints Forecasting" model using Azure AutoML and Azure ML pipelines. Writing SQL scripts for data extraction and transformation. Building a dashboard using PowerBI for real-time monitoring.

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  Project 2 : Developing "CookGPT" leveraging Azure AI Search Service for Cook Medical's internal knowledge base. This is aimed to reduce the time spent by employees in searching for relevant information.

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  Project 3 : Developing Defect detection and classification model for manufacturing setup using Azure Custom Vision to reduce manual inspection time and improve accuracy.

Research Assistant @ChopraLab | Purdue University

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  Creating AI agents using Langchain and OpenAI API.

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  Building personalized healthcare assistants for Cleveland Clinic.

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  Enabling autonomous workflow generation for chemical experiments by integrating LLMs with χDL framework and data from literature with teams from MIT and University of Glasgow.

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  Contributing to NCATS and NIH collaboration on AI-driven smart labs, enhancing an AI assistant for autonomously managing diverse laboratory machines.

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  Facilitating scientists in expediting repetitive setup and experimental processes.

Research Assistant @StaigerLab | Purdue University

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  Applied data analytics and image processing tools (SOAX, OpenCV, NumPy, Pandas) to analyze actin microfilaments.

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  Engineered algorithms, developed performance metrics, and constructed a phenotype-specific registry for diverse plant types.

Machine Learning Engineer Intern | Labellerr

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  Developed “Auto-label Jobs”, leveraging cutting-edge research (DINO, CLIP, ImageBind, yolov8) for automated labelling of large datasets leveraging domain-specific or zero-shot generic models.

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  Analyzed diverse datasets, evaluated competitive products, conducted technical sessions, and provided editorial support.

Research Intern | Technological University of the Shannon

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  Worked on RPA, surveyed different tools in market (UiPath) and devised an algorithm using PyPDF and PymuPDF, extracting data from emails and PDFs with no word loss, outperforming the SOTA tools available in market for target PDFs.

Data Science Intern | Physio AI - Darwin Digitech

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  Played a pivotal role in developing the company's major AI-based physiotherapy product, with an 80%+ accurate human pose estimation model for pose classification and movement assessment.

Data Analyst Intern | Apna

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  Integrated different tools like Metabase, Plotly.js, and Twilio, Retool, Excel and SQL to build dashboards for internal team and increased usage efficiency by 18% (Saving an average of 8 min/dashboard).