Curriculum Vitae
full resume on Overleaf → view PDF
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§ Skills
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| category | technologies |
|---|---|
| Languages | Python · Java · C · C++ · SQL · TypeScript · JavaScript · HTML/CSS · R |
| Software Tools | Amazon Web Services · Google Cloud Platform · Databricks · Docker · Claude Code · Codex · Gemini · TensorFlow · PyTorch · Pandas · NumPy · HuggingFace · Apache Spark · Git/GitHub · Linux Systems |
| Domains | Cloud Development · AI/ML · Generative AI · Internet of Things · Systems Engineering · Data Structures & Algorithms · Full-Stack Development |
| Data Viz | Grafana · Tableau · Matplotlib · Plotly · D3.js |
| Web | React · Astro · Solid.js · Node.js · FastAPI |
§ Work Experience
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# 7 roles · sorted by date desc
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- Productionalized a serverless data pipeline and query service that aggregates hardware metadata and deployment events from 4 upstream sources into a unified REST API, replacing fragmented investigations for HWEng teams.
- Designed a novel ingestion pipeline with Annapurna Labs firmware telemetry, making visible 32% of bad deployment incidents across manufacturing lines, reducing average incident resolution time from 13 days to under 1 day, and enabling early detection of incompatible firmware installations.
- Designed and deployed an unsupervised machine learning API using SageMaker, Lambda, and S3 to analyze 10 million+ deployments across hardware rollouts and automatically surface anomalous behavior and unsafe deployments.
- Replaced manual signal inspection with automated anomaly scoring and deployment-level recommendations, reducing rollback investigation time by 75% and enabling engineers to evaluate rollout health 4x faster.
- Operationalized an ML-based sustainability classification pipeline that converted 10,000+ subjective data points into standardized scores used in internal evaluations and customer-facing dashboards.
- Worked directly with the CEO to translate qualitative sustainability criteria into reproducible data-processing and classification workflows, improving consistency across company analyses.
- Supported 800+ students across DSC 40A, DSC 100, COGS 9 (Kyle Shannon), and COGS 108 (Jason Fleischer) through office hours, grading, and technical instruction in Python, SQL, databases, algorithms, and machine learning.
- Served as software lead by developing and maintaining course websites and migrating automated grading infrastructure to a new platform via custom scripting, increasing grading speed by 50% across large-enrollment courses.
- DSC 40A Website →
- COGS 9 Website →
- Developed user-interface designs using HTML, CSS, and Canva for a start-up finance app.
- Beta-tested iOS app using TestFlight and provided detailed feedback to the developer team.
- Managed the Sports Jam summer programs for middle and elementary schoolers, using sports and crafts to instill values of open communication and teamwork.
- Led a team of high school students working with park-rangers to restore California Nursery Historic Park for its re-opening as part of the Youth Service Corps (YSC).
- Promoted Simplify's AI-powered job application platform to 100+ students at UC San Diego.
§ Research
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- Collaborating with Ph.D. student Akshay Nagarajan on an IoT-based educational platform leveraging embedded systems to improve K–12 learning outcomes.
- Responsible for constructing the backend infrastructure, database design, and data engineering pipelines.
- Contributing to a forthcoming research publication based on this work.
§ Leadership
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- Leading one of the largest data science student organizations in the U.S. (500+ members) by driving strategy, operations, and cross-campus engagement through industry talks, academic panels, technical workshops, hackathons, and projects.
- Previously as Software Director (2024–2025), coordinated the redesign of the DS3 website using React & GitHub to enhance UX for 500+ members, sponsors, and partners.
- DS3 Website →
§ Featured Projects
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from ansh.portfolio import projects
# 16 published · sorted by date desc
cv.projects()
# 16 published · sorted by date desc
cv.projects()
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| project | tags | description |
|---|---|---|
| PlantDex | Machine Learning · Computer Vision · Python | ML-powered plant identification and classification app built for DS3 |
| DS3 Website | Full-Stack Development · TypeScript · React | Main website for the Data Science Student Society at UC San Diego |
| DataHacks 2026 | Full-Stack Development · TypeScript | Official website for DataHacks 2026 — UCSD's data science hackathon |
| Smart AC System | IoT · Embedded Systems · Systems Programming | Cyber-physical smart air conditioning system with Arduino and live sensor data |
| Twitch Recommender | Machine Learning · Recommender Systems · Python | Content recommendation system for Twitch streams using collaborative filtering |
| LukaBot | Machine Learning · Reinforcement Learning · Python | Reinforcement Learning agent learning how to shoot a basketball |
| DataSurg | Data Visualization · JavaScript | A Visual Exploration of Korean Surgical Data |
| HeatMappers | Machine Learning · Data Analysis · Python | National Data Platform Fire-Ready Forests Data Challenge |
| AutoBots | Machine Learning · Reinforcement Learning · Python | Using Reinforcement Learning for autonomous vehicles with Carla & DonkeySim |
| BikeWatching | Data Visualization · JavaScript | Interactive visualization of bike traffic and station activity across San Diego |
| Recipes-n-Ratings | Machine Learning · Python · Data Analysis | Do Higher-Calorie Recipes recieve Higher Ratings on food.com? |
| Personal Website & Home Foresting | Full-Stack Development | An online space to digitally introduce myself & write about my rare-plant hobby |
| Fantasy Basketball Assistant | Full-Stack Development · APIs · Python | Software to assist with NBA Fantasy Sports |
| Criminal Justice AI | Machine Learning · Data Analysis · Python | AI model to to remove human bias from sentencing & improve COMPAS |
| SongSpace | Full-Stack Development · Python · Databases | Prototype-version of Spotify |
| WebCrawler | Java | Created a Web Crawler prototype from scratch in Java |