Manav Parikh
About Me
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
Prgramming Languages
Libraries/Frameworks
Web Development
Tools
Cloud Technologies
Master of Science in Computer Science
3.70/4
Relevant courses: Cloud Computing, Machine Learning, Deep Learning, Big Data, Software Engineering, Algorithms, Database Systems
Bachelor of Technology in Computer Science and Engineering
8.38/10
Relevant courses: Artificial Intelligence, Computer Architecture, Network Computing, DBMS, Data Structures, Web Mining, OOP
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.
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.