Atharv Patwardhan
Atharv Patwardhan
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Hello World!

It's Atharv

Idevelopsoftware,applymachinelearning,andmakedata-drivendecisions.

AI Atharv

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    Hi there! I'm AI Atharv, Atharv's chatbot 🤖. Feel free to ask me anything about Atharv, and I'll be happy to help! 😊

A bit about me.

I'm a Software Engineer based in New Jersey, USA with a passion for exploring new technologies and creating impactful solutions. I have a deep interest in Mathematics and enjoy developing machine learning and data science applications to tackle real-world challenges. Currently, I’m working towards a Bachelor's degree, double majoring in Computer Science and Mathematics at Rutgers University. If you’re looking for someone who is enthusiastic about technology, loves collaborating, and has a good sense of humor, I’m your guy! When I'm not coding, I enjoy playing Badminton, Chess and also have a liking for painting and music. Feel free to reach out to me if you have a cool project idea, or just want to chat!
Atharv Patwardhan

My Skills
and certifications.

Python
Java
TypeScript
Kafka
Airflow
Docker
SQL
PostgreSQL
MongoDB
Git
PySpark
MLflow
AWS Certified

My
Projects.

Modalytics

View on Github
View on Github
Modalytics

AI Job Board

View on Github
View on Github
AI Job Board

Autonomous Driving Model

View on Github
View on Github
Autonomous Driving Model

Clash Royale Analytics Dashboard

View on Github
View on Github
Clash Royale Analytics Dashboard

Work
Experience.

01
Machine Learning Research Assistant
Dec 2024 - Present
Rutgers University
  • Implemented a Multiple Convolution Network (MulCNN) for classification of Heat Shock Proteins into distinct protein families, achieving a 94% accuracy.
  • Processed and transformed 12,000+ data points from FASTA files into pandas dataframes, optimizing data preprocessing for seamless model training.
  • Developed a web-based tool integrating the model to provide real-time classification for users.
02
Software Developer Intern
Jun 2024 - Aug 2024
Independence Education
  • Created a comprehensive data analytics dashboard that links to the Canvas student software for an Ed-Tech startup, leveraging TypeScript, React.js, Chart.js, PostgreSQL, and Node.js to provide actionable insights
  • Engineered a powerful chatbot prototype utilizing the GPT-3.5-turbo model and LangChain, integrating a Retrieval- Augmented Generation (RAG) architecture for enhanced accuracy and contextual relevance.
  • Employed advanced data visualization techniques to present complex datasets in an intuitive manner, significantly enhancing user engagement and enabling data-driven decision-making for improved learning outcomes for both, learners and educators
  • Employed advanced data visualization techniques to present complex datasets in an intuitive manner, significantly enhancing user engagement and enabling data-driven decision-making for improved learning outcomes for both, learners and educators
03
Software Engineering Intern
Dec 2022 - Jul 2023
VIIE
  • Developed microservices using Node.js and deployed them using Docker containers.Spearheaded the development of the VIIE Web Application utilizing cutting-edge technologies including React.js, Next.js, and Tailwind CSS ensuring scalability, performance, and maintainability of the application and delivering a rich and engaging user experience.
  • Successfully managed a diverse, 15-member cross-functional team, including Frontend, Backend, Database, and UI/UX specialists. Fostered a collaborative environment, facilitating effective communication and cooperation between developers and stakeholders.
  • Successfully managed a diverse, 15-member cross-functional team, including Frontend, Backend, Database, and UI/UX specialists. Fostered a collaborative environment, facilitating effective communication and cooperation between developers and stakeholders.
  • Actively engaged with stakeholders to gather requirements, provide progress updates, and incorporate feedback, ensuring the final product met or exceeded expectations.
04
Machine Learning Intern
May 2022 - Jul 2022
FeynnLabs
  • Piloted the successful implementation of diverse Machine Learning Models, including advanced techniques like LSTM, Multiple Linear Regression, and Support Vector Regression effectively to solve complex optimization challenges, resulting in enhanced operational efficiency and approximately 15% growth in revenue.
  • Conducted data exploration and generated comprehensive reportsthat provided actionable insights, empowering stakeholders to make informed decisions and advance strategic initiatives
  • Conducted an in-depth analysis of the electric vehicle market, identifying three major growth opportunities that prompted a strategic shift resulting in 25% more investment towards innovative EV initiatives over six months.
  • Collaborated effectively with cross-functional teams, including data scientists, engineers, and business analysts, to ensure the successful deployment of machine learning models. Facilitated knowledge sharing and fostered a collaborative environment to drive innovation and continuous improvement.

Let's get
in touch!

Get in touch
reach.to.atharv@gmail.com
reach.to.atharv@gmail.com