Deepa Umesh

AI/Machine Learning Engineer | Robotics & Autonomous Systems Specialist

Buffalo, NY, US.

About

Highly analytical and results-driven AI/Machine Learning Engineer pursuing a Master's in Computer Science, with a proven ability to develop and deploy advanced AI solutions for complex challenges. Leverages expertise in autonomous systems, large language models, and data engineering to drive significant improvements in efficiency, accuracy, and operational capabilities. Eager to apply innovative research and practical development skills to impactful roles in AI and robotics.

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Work

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DRONES Lab, University at Buffalo

Graduate Research Assistant

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CormSquare

Software Engineering Intern - AI

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Projects

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Grader AI

Developed an AI-driven platform for automated evaluation of diverse academic submissions, including PDFs, code, notebooks, and videos.

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Mixture of Experts (MoE) Information Retriever

Created an advanced chatbot utilizing a Mixture of Experts architecture for multi-topic QA, leveraging sophisticated vector retrieval and LLM models.

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Legal Document Summarization

Conducted extensive evaluation and fine-tuning of leading transformer models for abstractive legal document summarization.

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Education

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Computer Science and Engineering

University at Buffalo, The State University of New York

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Computer Science

Jyothy Institute of Technology, India

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Skills

Programming Languages

Python, Java, C++, C, JavaScript, TypeScript

Data Management & Analytics

MySQL, SQLite, Postgres (SQL), MongoDB (NoSQL), Redis, Hadoop, Spark

Libraries & Frameworks

Pytorch, OpenCV, Numpy, Matplotlib, Tkinter, React, Springboot, Tensorflow, Langchain, LangGraph, Pandas, Flask, Django, FastAPI, Apache Solr, Next.js, Keras

Cloud Platforms

AWS (EC2, Lambda, DynamoDB, S3, RDS, Textract, Sagemaker), GCP (Compute Engine, Cloud Storage)

Software Control & DevOps

Git, Github, Docker, Kubernetes, Kafka

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Publications

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3D Mapping and Exploration Using Autonomous Robots and NeRF

Springer (International Conference on Interdisciplinary Approaches in Civil Engineering for Sustainable Development)

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Languages

English

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