Anirudh Vemuri
Computer Science Student & Software Engineer
I'm a Computer Science student at the University of Michigan with a passion for building high-performance systems and intelligent applications. My work spans from low-level systems programming to machine learning and full-stack development.
Currently exploring the intersection of AI and systems engineering, with experience in microservices architecture, real-time data processing, and end-to-end encryption.
Education
University of Michigan
B.S.E. in Computer Science, Minors in Mathematics & Electrical Engineering
GPA: 3.8
Expected May 2027Ann Arbor, MI
Relevant Coursework
Data Structures and Algorithms, Machine Learning, Web Systems, Computer Organization, Object-Oriented Programming, Discrete Math, Probability Theory, Linear Algebra
Activities
Honors Program, Michigan Hackers Advanced ML Team, Michigan Data Science Team
Experience
Strata AI
May 2025 - Aug 2025Software Engineering Intern · Ann Arbor, MI
- •Developed a data filtration module using Python classification models with ONNX Runtime on AWS Fargate to remove low-relevance signals from 200k+ events, enabling users to toggle between raw and sanitized data views
- •Enabled streaming analysis of 15+ distinct event types by deploying a parallel Kafka ingestion pipeline to fork incoming streams without modifying the primary dataset, ensuring data integrity
- •Reduced P99 API latency for expensive data queries by 40% leveraging a Redis cache of precomputed results
SLV Realty
May 2024 - Aug 2024Software Engineering Intern · Greenville, SC
- •Engineered a buyer-agent allocation system using a weighted multi-factor scoring algorithm across 10+ features including location, price range, and transaction history, automatically matching buyers to optimal agents
- •Built a serverless notification pipeline powered by Flask and AWS Lambda to deliver personalized property alerts to 200+ active buyers, filtering listings by price, location, and school zone
- •Automated the daily ingestion of 1,200+ property listings by designing an ETL pipeline with Python and Pandas
Clemson University
Jun 2023 – Aug 2023Research Assistant · Clemson, SC
- •Increased the relevant response rate of Parkinson's disease caregiver questions by 17% through developing a SVM-based query classification and contextualization pipeline based on 2000+ samples
- •Achieved a 0.83 macro-F1 score by implementing a Bayesian hyperparameter search with Optuna TPESampler
Projects
- •Designed and implemented a cross-platform P2P file transfer system supporting 100+ concurrent peers with <5 ms peer discovery latency, leveraging UDP-broadcast discovery and multi-threaded connection management
- •Encrypted 500k+ chunks end-to-end using X25519 and ChaCha20-Poly1305, maintaining <0.5 ms latency
- •Achieved 150 MB/s LAN throughput with ZSTD-compressed chunked I/O, reducing payloads by 60%
- •Enabled <100 ms transfer recovery after network interruptions through per-chunk state persistence
- •Reduced the compute cost of LLM calls by up to 30% through developing an algorithm to simplify complex queries with a multi-stage NLP-based query parser leveraging spaCy dependency parses and semantic role labeling
- •Designed an energy-benchmarking dashboard to visualize lifetime and session-level savings with various metrics
- •Implemented a token-based game module to reward calculated energy savings and incentivize user retention
- •Delivered control of 20+ desktop actions with hand gestures with 90% accuracy through CV gesture classification
- •Integrated ASL-based text input through utilizing MediaPipe Hands tracking for <75 ms frame translation latency
- •Improved text input speed by 35% on average by integrating a seq2seq LSTM autocomplete module
- •Minimized unknown sign errors for non-standard ASL words by implementing a k-NN–based semantic map
Technical Skills
Languages
PythonC++JavaC#SwiftHTML/CSSJavaScriptTypeScriptFlutterDartSQLMATLAB
Frameworks
FlaskDjangoReact NativeElectronNode.jsSwiftUICoreMLARKitSpringSvelteQtCrow
Developer Tools
GitDockerVS CodePower BIXcodeHerokuJenkinsKubernetesAWSJupyter NotebookEclipse
Libraries
TensorFlowPandasTkinterScikitNumPyMatplotlibBeautiful SoupPygamePyTestJinja2