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Eswar Sai Korrapati is a results-driven Software Developer specializing in AI and Machine Learning, with experience in developing scalable applications and deploying models using Python and cloud technologies. Currently at Comcast, he has improved model accuracy and reduced infrastructure costs through serverless solutions and MLOps practices. He holds a Master's degree in Computer Science and has worked on various projects, including predictive models and collaborative applications.

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0% found this document useful (0 votes)
24 views1 page

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Eswar Sai Korrapati is a results-driven Software Developer specializing in AI and Machine Learning, with experience in developing scalable applications and deploying models using Python and cloud technologies. Currently at Comcast, he has improved model accuracy and reduced infrastructure costs through serverless solutions and MLOps practices. He holds a Master's degree in Computer Science and has worked on various projects, including predictive models and collaborative applications.

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kruthiklucky5
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Eswar Sai Korrapati​

Open To Relocate | 551-344-5356 | eksai0726@gmail.com | LinkedIn |

PROFESSIONAL SUMMARY
Results-driven Software Developer with a specialization in Artificial Intelligence and Machine Learning. Experienced in developing
scalable applications and deploying machine learning models using advanced techniques in Python, TensorFlow, PyTorch, and cloud
technologies (AWS). Proven ability to create end-to-end AI solutions, from model development to deployment in cloud environments,
enabling data-driven decision-making and process optimization. Focused on solving complex problems and contributing to innovative,
large-scale systems.

WORK EXPERIENCE
Software Developer (AI/ML)​
Comcast | San Jose, CA​
August 2024 - Present
●​ Developed and optimized machine learning models using TensorFlow and PyTorch to process real-time data for predictive
analytics, increasing model accuracy by 20%.
●​ Built and deployed serverless AI solutions using AWS Lambda, reducing infrastructure costs by 15% while enhancing
system scalability.
●​ Designed and implemented automated data pipelines for model training and data preprocessing using Python and AWS S3.
●​ Implemented MLOps practices to streamline the model lifecycle, including CI/CD for model deployment, automated
monitoring, and performance tracking.
●​ Integrated real-time AI models into existing business systems, providing insights influencing strategic decision-making
processes.
●​ Reduced model inference time by 25%, improving real-time processing capabilities and application performance.
●​ Collaborated with cross-functional teams using Agile methodologies and Git for version control.
●​ Technologies: Python, TensorFlow, PyTorch, MLops, AWS Lambda, AWS S3, SQL, Git, Docker.
Software Developer​
Dentsu | Hyderabad, India​
May 2020 – July 2022
●​ Developed and optimized web applications and backend services using Python, Django, and Flask, boosting system
performance and reliability.
●​ Designed and built efficient RESTful APIs and integrated them with front-end systems, enabling seamless and secure data
exchange.
●​ Worked with SQL and MongoDB to design and optimize database schemas, improving data retrieval speeds by 25%.
●​ Automated backend processes and scheduled jobs using Python, reducing manual overhead and improving operational
efficiency.
●​ Wrote unit and integration tests for Django and Flask apps, ensuring high code coverage and reducing bug rates by 30%.
●​ Deployed applications on AWS EC2, streamlined CI/CD pipelines, and improved cloud resource utilization.
●​ Collaborated with cross-functional teams in an Agile environment, leveraging Git for version control and smooth team
collaboration.
●​ Technologies: Python, Django, Flask, SQL, MongoDB, AWS (EC2), Git, RESTful APIs, Docker

EDUCATION
Master of Science in Computer Science​
Montclair State University | Montclair, NJ​
Graduated: May 2024​
GPA: 3.65

PROJECTS
Next Word Prediction
●​ Built a predictive model using a pre-trained BERT model to predict the next word in a sequence, achieving high accuracy
rates.
●​ Technologies: Python, PyTorch, TensorFlow, Numpy, Pandas, Keras, BERT.
Collaborative Real-Time Note-Taking Platform
●​ Developed a real-time note-taking application with collaborative editing features using ReactJS and Node.js.
●​ Implemented Operational Transformation to handle concurrent user edits, providing a smooth collaborative experience.
●​ Technologies: ReactJS, Node.js, Socket.io, MongoDB, AWS, Heroku.
RAG-based PDF Summarizer
●​ Developed a LangChain-powered Retrieval-Augmented Generation (RAG) app to extract and summarize insights from PDFs
using OpenAI embeddings and FAISS vector search.
●​ Deployed a user-friendly web interface via Streamlit, enabling real-time PDF upload, semantic chunking, and GPT3.5-powered
summaries.
●​ Technologies: Streamlit, LangChain, OpenAI, FAISS, Python, PyPDF, GPT-3.5-turbo

SKILLS
●​ Programming Languages: Python, C++, SQL
●​ AI/ML & NLP Frameworks: TensorFlow, PyTorch, Keras, MLops, Scikit-learn, BERT, LangChain
●​ Backend & Web Development: Django, Flask, REST APIs, FastAPI
●​ Cloud & Deployment: AWS (Lambda, EC2, S3, CloudWatch), Heroku
●​ Data Engineering & Analysis: Pandas, NumPy, SQL, MongoDB, MySQL, Tableau
●​ DevOps & CI/CD: Docker, Kubernetes, Jenkins, Git, GitHub
●​ Collaboration & Tools: IntelliJ, VS Code, Jupyter, Agile, Git
●​ Core CS: Data Structures, Algorithms, System Design, Design Patterns

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