about
I am a software engineer focused building and enhancing the efficiency and accuracy of applications built with large language models when applied to solve problems across different domains.
I am also keen on exploring the vulnerabilities present in current LLM systems and developing defenses to protect these systems, as well as user systems, from attacks.
Prior to my master's degree I have been specializing in building fullstack applications including backends for microservices and designing architectures for cross-application data delivery solutions.
My primary strength lies in my experience with researching, evaluating feasibility, and prototyping ideas. In addition to this, I am an independent blogger and content moderator for #ai on DEV
I am currently learning how to use LangChain to build RAG applications. I am keen about open source contributions and am proud of my latest contribution to LangChain. More about it here
papershelf
paper summaries from my coursework
experience
Research Assistant - Amazon Alexa Taskbot Challenge
Penn State NLP Lab
Feb 2023 - Jun 2023
- Assisted in building a taskbot upon the COBOT Framework provided for the Alexa Prize Taskbot Challenge 2 [Cooking & DIY].
- Researched on usage of Knowledge Graphs [Neo4j backend] and improvising the existing search & recommendation engine within the Alexa application.
- Involved in taskbot development related to multimodal learning. Co-authored “EvoquerBot: A multimedia chatbot leveraging synthetic data for cross-domain assistance” in the Alexa Prize TaskBot Challenge 2 Proceedings.
Graduate Student - Independent Research Study
Pennsylvania State University - University Park, PA
Jan 2023 - May 2023
- A comparative analysis of applying transfer learning from the Text-To-SQL task to the task of generating cypher query language (Neo4j engine) from natural language text. My findings suggest this is not the best approach due the semantic differences between the two languages. More details about the study can be found here.
Software Engineer - API Services/DataFeeds/Snowflake
Visible Alpha, IN
Jun 2021 - Jun 2022
- Development & feature enhancement of AWS S3 file delivery microservices written in Django, Celery, Redis, SQL
- Prototyping and implementation of AWS S3 batch operations to optimize AWS S3 File delivery services to speed up process times.
- Development of data delivery mechanism port data onto Snowflake Warehousing Service using Python scripts, SnowSQL, pipelines & stream. Collaboration with teams using GitLab.
Research & Web Development Intern
Somaiya Institute of Research & Consultancy, IN
Aug 2020 - Jan 2021
- Design & development of a intermediary data analysis dashboard for physicians using Charts.JS to visualize incoming COVID-19 patient data morbidity.
- Developed features for graphical visualization and interactively querying the data along with analysis of handwritten prescription using Pandas
- Contributed towards ML-based informed intervention for Crowdsourcing based Optimization of Medical Resources Attending Demand Equalization for COVID-19 treatment.
education
Masters of Science in Computer Science & Engineering
Pennsylvania State University - University Park, PA
Aug 2022 - May 2024
- Courses: Natural Language Processing, Computer Vision, Computer Security, Vision and Language, Adversarial Machine Learning, Design and Analysis of Algorithms, Fundamentals of Computer Architecture
Bachelor of Engineering in Computer Engineering
University of Mumbai
Jun 2017 - Jun 2021
- Undergraduate thesis: Co-authored “Volunteer’s Abode - Improving Community Service with a Graph-based Recommender System” in the 4th International Conference on Advances in Science & Technology, 2021 [ICAST] & publication of the technical paper in Elsevier’s SSRN.
projects
YouTube Transcripts Summarizer
Chrome Extension to capture real-time transcripts from YouTube Videos utilizing a Flask REST API, processes transcript data using BERT, HuggingFace
Progressive Web App for a Local Clinic
Progressive Web App for a general physician to communicate availability to patients. Conceptualized (logo designing/prototyping) and developed a PWA (Javascript) and admin panel (Node.JS/MongoDB) hosted using Heroku
Prediction of Queue Waiting Times in Hospitals
Designed & developed a working prototype of an Apache Cordova android app for viewing queue waiting times in a hospital’s Out-Patient Department (OPD). Built backend with a Flask REST API supported by a linear regression model to predict waiting times.
