Software Engineer Web Developer

SRIKAR RAGHUNATH KILAMBI

669-***-**** *********@*****.***/********@***.*** LinkedIn Github Website

EDUCATION

Master of Science, Computer Science - University of California Riverside Sep 2022 - June 2024

● Relevant Coursework: Design and Analysis of Algorithms,Computational Biology, Information Retrieval and Web search, Spatial Computing, Deep Learning, Data Mining, Database Management System, Computer Security, Operating Systems Bachelors of Engineering,Computer Science - OsmaniaUniversity July 2018 - May 2022

● Relevant Coursework:Data Structures and Algorithms,Computer Networks, Deep Learning, Distributed Computing, Cloud Computing

● Volunteer work: Worked as a web developer in the IEEE Osmania University. WORK EXPERIENCE

Software Engineer Epsoft Technologies LLC March 2025-Present Client:UPS-Software Engineer

● Developed and maintained automation solutions to streamline logistics and warehouse management processes using Axway, Softeon, and related enterprise platforms.

● Monitored and optimized automated workflows to ensure high availability and timely delivery of services.

● Troubleshot and resolved critical system issues, reducing downtime and improving SLA compliance.

Software Engineer Virtual Infra, Remote Sept 2024 - March 2025

● Building RESTful APIs using Django, with PostgreSQL for secure and reliable data storage.

● Developed a dynamic, responsive interface with React and Redux for efficient state management.

● Deployed the platform on Microsoft Azure, ensuring scalability and robust security.

● Implemented Django authentication and DRF token-based authentication, ensuring secure access. Applied password hashing, CSRF protection, and other Django security features to protect sensitive data.

Directed Researcher University of California Riverside Sept 2023 - June 2024

● Implemented DrCIF inference and training accelerators on an FPGA using C/C++ and optimized with Vivado HLS for high-performance execution on AMD/Xilinx Alveo U250/U280 FPGAs.

● Rewrote the DrCIF inference code from Python to C/C++ code, comparing the performance of the FPGA implementation to a CPU-based Python version.

● Trained the DrCIF model on the UCR Time Series archive and validated the accuracy using both CPU and FPGA implementations.

● As part of another project, I trained and deployed fine-tuned, quantized hugging face models on AMD’s Ryzen AI,utilizing the NPU’s capabilities to run several model instances at a faster rate than a conventional CPU.

TECHNICAL SKILLS

● Languages:Java, C, C++, Python, C#, JavaScript

● Backend Frameworks:Django, Flask, ASP.NET,Spring

● Full Stack and Web Development:HTML, CSS (Tailwind,Bootstrap),MongoDB, Express.js, React, Node.js,TypeScript

● Databases:MySQL, PostgreSQL, MongoDB, AWS-RDS, DynamoDB

● Machine Learning:Scikit-learn, TensorFlow, Keras,PyTorch, Pandas, NumPy

● Prompt Engineering:Claude,GPT

● Data Engineering Tools:Hadoop, MapReduce, Spark

PROJECTS

● VEGI(TTS)-Voice Enhanced Gaming Interface

Deployed, optimized and quantized Text to Speech models on AMD Ryzen AI NPU.This involved a comprehensive comparison of model inference across NPU, CPU and GPU with a particular focus on the Ryzen AI NPU’s performance in handlingTransformer-based models.

● Search Engine for Sports

Designed and implemented a web scraping model using the Scrapy framework to extract data from sports columns. Utilized PyLucene for indexing and subsequently created an alternative index employing BERT. Developed a Django-based search engine to facilitate efficient retrieval of data.

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