I am a Computer Science undergrad (B.Tech CSE) at
M.V.G.R College of Engineering, Visakhapatnam,
interested in building efficient and interpretable machine learning systems.
I am currently a Research Intern at
NIT Jamshedpur working under Prof. Dinesh Kumar on
federated learning with multi-agent reinforcement learning.
Previously, I've worked on historical document OCR with vision-language models,
GPT-style transformers with KV cache optimization, audio event detection,
and text classification with GloVe embeddings.
Designing a FedMARL architecture that integrates federated learning with multi-agent reinforcement learning for distributed decision-making in edge networks.
Working on adaptive aggregation, communication-efficient training, and heterogeneous agent environments.
Conducting simulation-based evaluation of latency, energy consumption, resource utilization, and learning performance.
Education
M.V.G.R College of Engineering, Visakhapatnam
· 2023 – 2027
B.Tech, Computer Science and Engineering · GPA: 7.73/10.00
Courses: Natural Language Processing, Machine Learning, Data Analytics, Big Data
Research Interests
Deep learning model evaluation and interpretability · Efficient fine-tuning
and representation learning · Audio signal processing and event detection ·
Machine learning systems and deployment pipelines · Federated learning ·
Multi-agent reinforcement learning
Open Source
Merged pull requests I've contributed to open source projects.
A perspective on the missing infrastructure layer between AI models and applications, and why knowledge should be treated as shared, reusable infrastructure.
