I am a Generative AI Engineer with a strong focus on Generative Models and RAG architectures. I work with Google AI Studio and previously served as a Generative AI Research Assistant at Northeastern University in Boston. I am also an AWS Certified Solutions Architect Associate with 5 years of full-stack development experience.
I am open to new opportunities where I can apply my skills to solve complex problems and drive innovation. With nearly 5 years of experience as a Full Stack Developer, I specialize in building scalable, cloud-native solutions and have a strong background in both frontend and backend technologies. My expertise spans JavaScript (React, NextJS, TypeScript), ThreeJS, D3, Python, Node.js, Java, Terraform, and various cloud platforms including AWS and GCP.
- Looking out for collaborators to work on implementing 📣 research papers 📣 releated to Gen AI
Feel free to explore my projects below and connect with me for opportunities to collaborate or discuss potential roles.
- linkedin: linkedin.com/in/parthadhruv/
- Cli Gen : CLI-Gen is an innovative open-source project that aims to use graph-based code representation and Large Language Models (LLMs) to automate test case generation and client library creation.
- Building Uber From Scratch : This project aims to create an open-source, customizable Uber-like ride-hailing simulation platform. Our goal is to provide a tool for researchers, students, and industry professionals to experiment with ride-hailing algorithms, analyze system behavior, and innovate in the field of urban mobility.
- Protein Structure Explorer : A web app designed to interact with a protein database visualize protein structures and query information through chatbots
- LLM Research Implementation Project : Building a collaborative space for implementing cutting-edge Large Language Model research
- Direct Preference Optimization for LLM Fine-tuning : Implementing the technique described in the "Direct Preference Optimization" paper to fine-tune large language models (LLMs) to better understand and align with human preferences
- Implementation of Instruction Backtranslation Paper: Instruction backtranslation is revolutionizing the way LLMs are aligned to follow instructions. By leveraging vast amounts of unlabelled data and minimal human-annotated seed data, this technique generates high-quality instructional data through an iterative self-training process
- DermAI Viz : A web platform that enables doctors and medical practitioners to visualize skin condition progression backed by Diffusion Models and access a comprehensive knowledge base for immediate clinical insights and patient education using LLM\
- Generative Pretained Transformer: Developed a GPT transformer model from scratch, implementing the MultiHead Attention mechanism and training it for text generation tasks
- Natural Language to SQL Prototype : GenoQuery is an innovative tool designed to streamline the process of querying and visualizing genomic and biological data through a user-friendly chatbot interface. ----> Visit https://genoquery.com <---- to check out the tool
- LeetCodeSolver: The DSA Problem Solver project aims to simplify the process of solving Data Structures and Algorithms (DSA) problems by leveraging advanced language models and retrieval-augmented generation (RAG) techniques. This tool is designed to assist users in tackling challenging DSA problems, making the process more intuitive and less daunting.
- AutoGrader: An automated assignment grading system leveraging AI for enhanced grading efficiency.
- Path Finder: Algorithm visualizer application built using React.
- 12 Factor App: Secure, scalable web applications using cloud-native technologies and DevOps practices.
- Automating Infrastructure as Code: Terraform to orchestrate a secure and scalable cloud-native application deployment on Google Cloud Platform.
I contributed a solution to enhance the Puppeteer Library's compatibility with Docker Containers on M1 macOS chips. You can view my suggestion in this discussion: Puppeteer GitHub Issue Comment.
Click on these videos to check my projects out !
April Jan 2024 - Present
May 2023 - Dec 2023
"Dhruv is a positive and enthusiastic individual. From day one it was clear he intended to grow and improve as a software developer. He certainly did that during his time at Running Tide. Never backing down from a challenge and taking initiave in finding good solutions to any problem he was presented." - Reynir Ingason, Project Manager, Running Tide
Oct 2018 - Aug 2022
"I've worked with Dhruv at various stages of his career at Mu Sigma, as a trainee, team member, and a team lead. He shows a great amount of drive when learning to pick up on new things, asking the right questions, and determination to see a deliverable to success when he hasn't worked on something similar before. I've also heard from multiple team members who have worked with him that he is a compassionate leader and shows by doing the work. Dhruv is a great coworker and I'd love to work with him again given the chance!" - Suprit, Associate Technical Architect - MLOps Engineering @ Quantiphi | NVIDIA Practice