Hey there! I am
Manav Parikh

About Me

ABOUT ME

I am Manav Parikh

a software engineer and AI solutions enthusiast currently pursuing a Master’s in Computer Science at New York University. With a strong academic foundation from Vellore Institute of Technology, I combine my studies with practical experience in building intelligent and scalable systems.

At the New Jersey Department of Environmental Protection, I work on AI-driven applications using LangChain, LLaMA3.1, and Azure AI Search to develop retrieval augmented chatbots. As a Teaching Assistant for NYU’s Cloud Computing course, I support students in mastering AWS, serverless technologies, and distributed computing.

Previously, I interned at Sas2Py and Kowi Lifestyle where I automated legacy system migration and improved app functionality using Python, PySpark, and Flutter. My academic work includes developing a cloud-based learning platform, analyzing urban crime data, and building smart assistants using large language models.

I am passionate about solving complex problems through the combined power of artificial intelligence, software engineering, and cloud infrastructure. I am always learning and motivated to turn ideas into impactful solutions.

email : manavparikh01@gmail.com

SKILLS

Prgramming Languages

Libraries/Frameworks

Web Development

Tools

Cloud Technologies

EDUCATION

New York University

Master of Science in Computer Science

Sep 2023 - May 2025 | Graduated

3.70/4

Relevant courses: Cloud Computing, Machine Learning, Deep Learning, Big Data, Software Engineering, Algorithms, Database Systems

Vellore Institute of Technology, Vellore

Bachelor of Technology in Computer Science and Engineering

Jul 2019 - May 2023 | Graduated

8.38/10

Relevant courses: Artificial Intelligence, Computer Architecture, Network Computing, DBMS, Data Structures, Web Mining, OOP

PROJECTS

EXPERIENCE

SAS2PY

software Engineer Intern

Jun 2023 - Jul 2023

Produced an enterprise application to automate COBOL to PySpark migration, reducing manual conversion efforts by 80%.

Engineered a SAS and Python code suggestion feature using Facebook AI Similarity Search (Faiss) library, integrated with the company database, to help employees write code more efficiently with line-by-line suggestions.

Kowi Lifestyle

Application Developer Intern

Aug 2021 - Dec 2021

Designed and built responsive mobile app pages using Figma, Flutter, and Dart, ensuring a seamless user experience.

Formalized robust REST APIs in the Django backend, enhancing multiple API runtimes by 15% through SQL query optimizations, and successfully incorporated them into the web and mobile applications.

Implemented the entire notification system for the Android/iOS app using Firebase Cloud Messaging.