Software Engineer Backend Systems & AIML Automation Pro & Data Science

RUTHVIK VASANTHA KUMAR

716-***-**** *************@*****.*** linkedin.com/ruthvik-v-kumar github.com/ruthvik-30 PROFESSIONAL SUMMARY

Computer Science graduate student with experience in software engineering, backend systems, APIs, search infrastructure, and machine learning applications. Built scalable pipelines, automated QA systems, and data-driven platforms using Python, PostgreSQL, and cloud tools. Delivered measurable impact, including 15% higher model accuracy, 20% reduction in QA effort through automation, and resilient cloud systems under high traffic. IEEE presenter and published researcher with strong engineering fundamentals and real-world impact. PROFESSIONAL EXPERIENCE

Graduate Research Assistant, University at Buffalo, Buffalo, NY: May 2025–present

• Identified critical scalability and security gaps in MCP server architectures and published actionable insights in a technical blog and co-authored research, guiding secure cloud deployment.

• Analyzed, implemented, and benchmarked secure MCP server prototypes, improving fault tolerance and adversarial robustness, maintaining uptime under DDoS loads exceeding 10,000 requests/sec.

• Simulated supply-chain and runtime attacks using custom Python scripts and CI/CD pipelines, detecting malicious packages and preventing version downgrade exploits to reduce compromise risk. Software Development Engineer Test Intern, Ai Palette, India: Feb 2024–Jul 2024

• Automated end-to-end data validation and testing workflows using Python, SQL, Elasticsearch, Selenium and Jenkins, reducing manual QA effort and improving overall testing efficiency by 20%.

• Orchestrated Airflow DAGs to trigger CI/CD based validation tests in an Agile environment, accelerating issue detection and enabling faster collaboration with engineers through Jira driven fixes and code reviews, with full process documentation in Confluence.

COMPUTER SCIENCE PROJECTS

Gemini AI Interview Assistant: FastAPI, Streamlit, Google Gemini AI, LangChain, FAISS, BM25, Sentence Transformers

• Built a RAG based interview assistant with hybrid retrieval (FAISS + BM25) and cross-encoder reranking, generating tailored technical questions, evaluating answers, and providing actionable feedback to enhance candidate preparation.

• Developed a full-stack solution (FastAPI backend + Streamlit frontend) that ingests codebases and Q&A datasets, automating technical assessment workflows and improving answer relevance by up to ~15%. Multi-Season Inventory Management using Reinforcement Learning: Python, Jupyter, Keras

• Designed and trained DQN and PPO algorithms RL model with a stockout-aware reward function to optimize multi-season inventory decisions, improving order fulfillment to 97.38% while reducing average holding time by one week.

University Website and Database: PostgreSQL, Streamlit, Supabase

• Designed and optimized a relational PostgreSQL database using Supabase, applying schema normalization, indexing, and query optimization to support 50 concurrent users with 95% uptime.

• Built an interactive Streamlit frontend for database querying with optimized filters and queries, enabling efficient data exploration and reducing average student query time by 60 seconds. Apparel Size Recommendation System: Scikit-learn, YOLOv8, Big Data

• Developed an end-to-end apparel size recommendation pipeline by performing data cleaning, pose- based feature extraction, normalization, and integrating YOLOv8 pose detection and ML model optimization, improving size prediction accuracy by 15% over baseline. TECHNICAL SKILLS & TOOLS

Programming Languages: Python, C, C++, Java, JavaScript Machine Learning & Data Science: Neural Networks, Feature Engineering, NLP, LLM, RAG, LangChain, Computer Vision, Model Evaluation; Scikit-learn, TensorFlow, Keras, PyTorch, Spark, Hadoop, Pandas, NumPy, Matplotlib, Seaborn Data Management & Analytics: MySQL, PostgreSQL, MongoDB, DynamoDB Web Development: HTML, CSS, React, Node.js, Streamlit, Flask, Hugging Face, FastAPI, REST APIs Cloud & DevOps Tools: AWS, Google Cloud Platform (GCP), Docker, Git, Elasticsearch, Jenkins, Jira, Airflow, Postman EDUCATION

Master of Science: Computer Science, University at Buffalo, The State University of New York - Jan 2026 Bachelor of Engineering: Electronics & Communication, PES University, India - Jun 2024 AWARDS & CONTRIBUTIONS

Presented at an IEEE conference in Kyoto (among 300+ experts). Published MCP cybersecurity research, identifying vulnerabilities and proposing actionable mitigations. Implemented SLAM and ROS-based navigation stack for an autonomous robot in Gazebo simulation.

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