Vihaan Nama
AI Grad Student at Duke University | AI Intern at PS&S | Ex - SDE 1 at JPMorgan Chase & Co. | Ex - Samsung Prism Developer at Samsung India | Ex - Research Intern at NIT Trichi
About Me
I'm Vihaan Nama, a tech enthusiast turned AI aficionado, currently diving deep into the world of Artificial Intelligence at Duke University. I've spent my career making computers do my bidding—whether it’s building AI tools to save hundreds of hours, migrating systems, or even writing and conducting technical research—I'm all about finding smarter solutions. I’ve published several AI papers, but don’t worry, I won’t quiz you on them (unless you’re into that). Proficient in Python, Java, TensorFlow, and AWS, I'm your go-to person for all things AI, cloud, and maybe even a good joke. I’ve been awarded and acknowledged along the way, and I’m on a mission to innovate, automate, and occasionally, caffeinate.
Technical Expertise
AI/ML
- PyTorch
- TensorFlow
- Transformers
- Computer Vision
- NLP
Programming
- Python
- Java
- Javascript
Cloud, MLOps, and Big Data
- AWS
- Azure ML
- Apache Airflow
- Kubernetes
- Apache Spark
Web Development
- React
- Next.js
- Node.js
- MongoDB
Data Science
- RAG
- LLMs
- Vector Databases
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Plotly
Tools
- Git
- Linux
- VS Code
- PyCharm
Featured Projects
Designed a novel system - SmartLawAnnotator - A Machine Learning-based Annotation Recommendation and Judgment Prediction Tool for Criminal Bail Applications, which aligns with India’s e-Courts initiative. Implemented 6+ Machine Learning and a Bi-LSTM model to perform text classification for various (3) parameters of an un-annotated dataset, removing the need for manual annotation; obtained a 97% accuracy.
Designed and developed a platform that converts lecture data to text and creates related interactive visualizations. Implemented complicated AI concepts such as embeddings, natural language processing, clustering, and prompt engineering for API calls to OpenAI’s GPT 4o-mini all within an interactive UI.
Experience
AI Specialist Intern
PS&S
August 2024 - On Going
Warren, New Jersey - Remote
- Developed an agentic FAQ AI system, which can automatically decide to obtain data one of multiple sources of information and provide accurate results based on the user's query.
- Designed a general AI chatbot using open-source AI models via Ollama, implementd built in conversation history, memory, automatic 'Chat-with-PDF', and various other functionalities.
Software Engineer Programmer - 1
JPMorganChase & Co.
July 2023 - July 2024
Bengaluru, India - Onsite
- Migrated particular big data reconciliation matching rules from another transaction matching engine to ours, which resulted in over $200k in annual savings for the team.
- Acted as a product owner for the Apache Airflow component of the team ensuring tasks ran in an automated systemized format at a particular mentioned time without manual intervention.
- Designed and developed various Java and Python modules that were integrated into the reconciliation system.
- Migrated Oracle SQL queries over to PostgreSQL, to allow for easier integration with AWS Aurora Database.
Software Engineer Programmer - Intern
JPMorganChase & Co.
January 2023 - June 2023
Bengaluru, India - Onsite
- Designed and developed various Java and Python modules that were integrated into the reconciliation system.
- Migrated Oracle SQL queries over to PostgreSQL, to allow for easier integration with AWS Aurora Database.
Research Intern
National Institute of Technology, Tiruchirappalli - Remote
March 2022 - December 2022
Tiruchirappalli, India - Remote
- Implemented 3 AI systems, one to recommend parts of SRS documents, one to recommend tags in videos and lastly one to recommend disaster tweet and documents.
- Integrated meta-heuristic optimization algorithms (Lightning Search, Lion’s Optimization) to aid in computing similarity.
- Developed a Prolog-Agent, classified features using AdaBoost, and used semantic similarity and indexes to rank classes.
- Achieved accuracy, precision, recall, and f-measure percentages over 95%.
PRISM Intern
Samsung Research Institute - Bangalore
June 2021 - January 2022
Bengaluru, India - Remote
- Obtained a problem statement to implement an Utterance Recommendation System (URS) for Samsung Bixby.
- Developed a candidate generation framework for the URS and passed it on to a ranking system.
- Led to receiving Certificate of Excellence for achieving hit-ratio and NDCG of top 5 recommendations as 75% & 70% respectively.
Education
Master of Engineering in Artificial Intelligence for Product Innovation
Duke University
2024 - 2025
Durham, NC
Bachelor of Engineering in Computer Science
RV College of Engineering
2019 - 2023
Bangalore, India
Publications
Avadhut Shelar, Minal Moharir, Vihaan Nama, Jaikishan Jaikumar, Varadraj Patil, Akhil Edupuganti
International Conference on Advances in Data-driven Computing and Intelligent Systems
Springer Nature Singapore
2023/9/21
Vihaan Nama, Gerard Deepak
International Conference on Advances in Data-driven Computing and Intelligent Systems
Springer Nature Singapore
2023/9/21
Vihaan Nama, Gerard Deepak
International Conference on Soft Computing and Pattern Recognition
Springer Nature Switzerland
2022/12/14
Vihaan Nama, Gerard Deepak, A Santhanavijayan
International Conference on Soft Computing and Pattern Recognition
Springer Nature Singapore
2022/12/14
Vihaan Nama, H Vishalakshi Prabhu
International Joint Conference on Advances in Computational Intelligence
Springer Nature Singapore
2022/10/15