Education
Computer Science and Engineering
University at Buffalo, The State University of New York
Computer Science and Engineering
PES University
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About
Highly skilled Generative AI Researcher and Software Engineer with a Master's in Computer Science, specializing in developing advanced AI/ML systems and robust backend infrastructure. Proven ability to drive innovation through multimodal LLM applications, optimize complex systems for significant cost savings (up to 83%), and deliver high-impact solutions serving large user bases (150,000+). Seeking to leverage expertise in AI research, scalable backend development, and full stack development to contribute to cutting-edge technological advancements.
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Work
DRONES Lab, University at Buffalo
Generative AI Researcher
City of Hope
AI Intern
Schneider Electric
Software Engineer
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Publications
Crop Disease Auto-Localization and Classification
Springer (International Conference on Artificial Intelligence and Data Science)
Entity Extraction from Unstructured Medical Text
International Journal of Engineering, Applied Science and Technology
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Projects
Grader AI
Developed an AI-driven grading platform that evaluates PDFs, code, notebooks, and videos submissions.
Multi-Server Texting
Built a TCP-based chat system in C++ using sockets for concurrent clients.
Neural Networks and CNN Development
Implemented and optimized fully connected Neural Networks and CNNs, including VGG-13 and ResNet-34 in PyTorch for multi-class and binary classification.
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Skills
Technical Languages, Frameworks
Node.js, JavaScript, Python, Pytorch, C++, C, Angular, FastAPI, Flask, Django, Java, JQuery, TypeScript, React, Spring Boot, Tensorflow, Keras, Langchain, LangGraph, LLMs
Databases and Data Tools
MySQL, PostgreSQL, MongoDB (NoSQL), CosmosDB, Redis, Hadoop, Spark
Cloud Technologies (AWS)
Lambda, S3, CloudWatch, RDS, DynamoDB, Cassandra Keyspaces, IAM, Step Functions, Secrets Manager, Glue, API Gateway, EC2, CloudFormation, SQS, ElasticSearch, Elasticache, Personalize
Software Control, Project Management
Git, Github, Azure Devops, Jenkins, Jira, Docker, Kubernetes, Kafka
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