Experience

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  Drishti-a revolutionary concept

  Jan 2019 - Jun 2021

  Member (ai/ml team)

  ▪ Managed events organized by the club including technical workshops and competitions having a reach of 400+ students▪ Worked on and mentored several projects related to computer vision and deep learning.

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  Acm, association for computing machinery

  Jul 2019 - May 2021

  ▪ Responsible for designing graphics, posters and illustrations to effectively publicize the events conducted throughout the year▪ Conducted the fourth edition of DotSlash, a National Level Hackathon under ASHINE - SVNIT, Surat, India.▪ Acquired Sponsorship worth 37 L+ rupees from 25+ sponsors and gained 800+ registrations making it a grand success.▪ Lead the publicity team in charge of event merchandising and social media marketing.

  • Coordinator and Designer

    May 2020 - May 2021

  • ACM executive

    Jul 2019 - May 2020
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  Jpmorgan chase & co.

  May 2021 - Jul 2021

  Machine learning engineer intern (sep)

  ▪ Developed ML-driven break advisor system for optimizing daily reconciliation process, attaining 94.8% accuracy in root cause prediction with random forest classifier.▪ Formulated algorithm for analyzing large financial datasets, reducing human involvement by approximately 40% in identifying combinations of transactions amounting to given fault value.

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  Svnit - research and innovation cell

  Sept 2021 - Jun 2022

  Creative head

  ▪ Coordinated and supervised several teams, including the admin and documentation team, the content planning team, and the design team to effectively organize the content for a variety of events conducted by RIAC.▪ Appointed as Editor-in-Chief for the second edition of the Shaastra Magazine, RIAC’s annual supplement meant for showcasing research work carried out by the students of the campus.▪ Undertook a range of social media initiatives such as "Noble Laureates", "Unsung Scientists" during the pandemic to promote the campus’s research culture. Show less

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  Jpmorgan chase & co.

  Jun 2022 - Jun 2023

  Sep software engineer

  ▪ Transformed a legacy EJB payment processing system into a high-performance Spring Batch application, resulting in accelerated processing speed, reduced downtime, and improved scalability for handling huge volumes of transactions.▪ Spearheaded a pivotal database migration initiative to Liquibase platform, while concurrently overseeing documentation and knowledge transfer sessions to ensure seamless transition for a 25-person team.▪ Automated testing for merchants to maintain accurate general ledger records, leading to 70% reduction in testing efforts for developers.▪ Announced “Crowdsource Q1 2023” winners for building enterprise release management tool that boosted product delivery throughput. Show less

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  Carnegie mellon university

  Jan 2024 - May 2024

  Graduate teaching assistant (11797)

  Worked as a graduate teaching assistant under Dr. Eric Nyberg and Dr. Teruko Mitamura for the 11-797 Question Answering course.

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  Deem asset management

  Jun 2024 - Aug 2024

  Artificial intelligence engineer

  ▪ Led development of an end-to-end Agentic AI chatbot, streamlining stock report generation for equity research analysts.▪ Engineered a user-friendly Graph RAG agent leveraging Neo4j, Langchain, and Streamlit, incorporating data visualization and financial computational tools, cutting equity research time from 48 hours to 2-3 hours. ▪ Automated ETL pipeline for ingesting data from multiple sources (earnings call transcripts, pdfs, SEC filings) into a knowledge graph, improving data integration and response accuracy for equity research queries while decreasing manual intervention by 90-95%. Show less

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  Carnegie mellon university

  Aug 2024 - now

  Teaching Assistant for 11-777 Multimodal Machine Learning course. Responsible for mentoring student teams, guiding them through their projects, providing feedback, and grading assignments under the supervision of Prof. Yonatan Bisk. Teaching Assistant for Coding Bootcamp course. Responsible for assisting the professor Ralf Brown with beta testing assignments, grading assignments and examinations, and managing logistics of the course.

  • Graduate Teaching Assistant (11-777)

    Jan 2025 - now

  • Graduate Teaching Assistant (10601)

    Aug 2024 - Dec 2024
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  Bny

  Sept 2024 - now

  Machine learning engineer

  ▪ Developing an AI-driven and modular prompt optimization suite at BNY to automate high-quality prompt generation, improving consistency and reusability across different LLMs.▪ Contributing to the design and implementation of key components including creator, convertor, compressor, inheritor and evaluator.