# Sweekrit Bhatnagar

> DS @ UCSD Health | prev. Doe (YC S25) | DS/Econ/Math @ UCSD

Location: United States, United States
Profile: https://flows.cv/sweekrit

I am a data science student at UCSD committed to leveraging data driven insights and delivering full stack AI-integrated software solutions. I have experience spanning healthcare, analytics, computational research, and software engineering. I learn fast, collaborate effectively, and apply innovative solutions to real problems. Contact me @ sweekritbh@gmail.com

## Work Experience
### Data Science Intern @ UC San Diego Health
Jan 2026 – Present | La Jolla, San Diego, California, United States
• Performed machine learning importance analysis on 800+ bacteria count features to predict fibrosis stages on 100+ patients with ~70% accuracy.
• Created taxonomy-classified differential abundance analysis graphs to demonstrate which bacterial families are strongly associated with disease.

### Software Engineer @ F3 Global
Jan 2026 – Present | La Jolla, San Diego, California, USA
• Built major frontend components for non-profit organization's website redesign, including client story components and the "About Us" page.
• Integrated contact page with MongoDB and ExpressJS backend to send custom emails.

### Autonomous Software Engineering Lead @ Yonder Dynamics
Jan 2025 – Present | La Jolla, San Diego, California, United States
• Integrated simulation software with ROS-based systems (including user-controlled driving, object detection, and autonomous navigation) to create an internal testing framework for robot competition tasks.
• Streamlined internal team set-up time by over 3x and enabled MacOS and Windows 11 support through creation of Docker containers for ROS and Linux-based software.
• Led migration of ROS1 to ROS2 for object detection, obstacle avoidance, and autonomous state machine modules to allow for easier development and integration of modern libraries/hardware.

### Software Engineer @ Yonder Dynamics
Jan 2024 – Jan 2026 | La Jolla, San Diego, California, United States
• Redesigned mission control dashboard using React + Redux to support telemetry, assay feedback, and new science modules; updated UI with real-time subsystem data for Mars rover deployment to improve science control by 25%.
• Integrated ZED-F9P RTK GPS with ROS1 using Python backend; fused Pixhawk MAVROS heading, RTK velocity and GPS information, RTCM correction data at 10Hz to publish rover velocity and location with 99.8% accuracy.
• Led backend assay analytics using Pandas, Matplotlib, and NumPy, processing fluorescence data from Bradford, Nile Red, and ATP tests; tested and validated ATP assay sensor outputs via lab-based optics testing.
• Programmed sensor control and testing logic in C++ for Arduino-based science box; deployed software on Jetson and Pi.

### Tech Consulting Associate @ Triton Consulting Group (TCG)
Jan 2024 – Present | La Jolla, San Diego, California, United States
Software Engineering Consultant @ Kaizen Academy (WI 26)
Project Manager / Firmware Engineering Consultant @ Brain Corp (FA 25)
Project Manager / Software Engineering Consultant @ KlonIT (SP 25)
Data Science Consultant @ Out of the Blue (WI 25)

### Software Developer @ Triton Software Engineering
Jan 2024 – Present | La Jolla, San Diego, California
Developer @ F3 Global (WI/SP 26)
Developer @ UCSD Health (WI/SP 25)

### Software Engineering Consultant @ The Kaizen Academy
Jan 2026 – Jan 2026 | La Jolla, San Diego, California, United States
• Developed end-to-end file upload module integrating Google Cloud and Supabase storage buckets to build custom teacher content management system to cut prep time by 60%. 
• Led planning of full stack system & SQL data model for student and teacher dashboards and database system meant to handle class assignment, file management, and gradebook management for 200+ users.

### Project Manager / Firmware Engineering Consultant @ Brain Corp
Jan 2025 – Jan 2025 | San Diego, California, United States
• Planned system architecture for and developed full-stack application to test the VDA 5050 robotics framework using MQTT-based network communication, JSON packets, and agent-based simulation.
• Conducted qualitative API usability assessment and technical feasibility analysis using said application for various fleet-management system software.
• Managed three developers in delivering on client requirements, approving merge requests, providing code reviews, and communicating interoperability updates with the client.

### Software Engineer @ Doe
Jan 2025 – Jan 2025 | San Francisco, California, United States
• Architected agentic LLM backend using generative AI APIs, enabling XML-prompted, Agentic RAG chains with intent-based routing, structured outputs, & prompt engineering; evaluated model performance.
• Developed Playwright-based web scraping functions for vendor platforms (Net32, Henry Schein) with for both on-demand and background retrieval flows, integrated via tool-calling into agentic flows SQL DB.
• Built encrypted credential and context-wise user data storage system using IV-HMAC and SQL, scoped per organization and role; implemented agent-generated task memory with structured object storage and per-message stream control.
• Created end-to-end Google Cloud, Microsoft, and Slack integration with custom MCP infrastructure.

### Backend Development Intern @ Lion Street
Jan 2025 – Jan 2025 | Chicago, Illinois, United States
• Directed and designed a greenfield backend infrastructure for internal agent training + advisory dashboard using the MERN stack and Supabase (PostgreSQL) to simulate and support client scenarios.
• Engineered RESTful APIs and core backend logic for an agentic LLM framework, handling conversation state, multi-step tool use, & simulation workflows with the OpenAI API; integrated logic for dynamic prompting and feedback generation.
• Addressed data simulation + quality challenges by modeling personalized training flows based on real customer journeys & call transcripts; iterated with PM on reproducible evaluation benchmarks and custom agent behaviors

### Project Manager / Software Engineering Consultant @ KlonIT
Jan 2025 – Jan 2025
• Led development of a production-ready Model Context Protocol (MCP) server using the MERN stack, TypeScript, and PostgreSQL, integrating Google Drive, Calendar, and SQL data sources to support prompt-driven LLM workflows.
• Engineered custom prompt templates for Anthropic Claude and OpenMCPClient, automating 19-step cross-platform tasks (SQL ops, calendar creation, Drive search) from ∼9 minutes to <1 minute via single-shot natural language execution.
• Delivered 8+ LLM engineering KPIs—including NL→SQL generation, context injection, and dynamic retrieval—while managing 4 developers across Agile sprints, technical client reviews, and deliverable presentations.
• Led API QA, version control, and delivery using Git, Postman, and Markdown; resolved merge conflicts, documented endpoints, and ensured maintainability for multi-agent deployments across 10-week development period.

### AI Systems Developer Intern @ VoiceBotics AI
Jan 2025 – Jan 2025
• Built backend services for SummarEQ, a MERN-stack app using GoHighLevel APIs to extract summaries, sentiment, and action items from calls, emails, and messages across 1,030+ records; handled REST integration and data flows.
• Developed a real-time NLP pipeline with OpenAI APIs, applying prompt chaining and sliding window logic to generate dynamic summaries from CRM data to orchestrate bi-directional sync, ensure stateful updates and provide NLP context.
• Implemented OAuth 2.0 flows for secure app installation and API token management; conducted Postman-based load testing, added backend logging, and manually validated OpenAI output across NLP workflows.
• Wrote technical documentation and guided backend architecture for React and middleware teams; contributed to API review and integration planning across functions.

### Software Engineer @ UC San Diego Health
Jan 2024 – Jan 2025 | La Jolla, San Diego, California, United States
• Built a full-stack MERN + Firebase application to deliver gamified electric bike and scooter safety content for 15,000+ San Diego high school students, in collaboration with UCSD School of Medicine to decrease the 300% rise in injuries.
• Developed TypeScript-based React UI with animated lessons, interactive modules and cards, and quiz components to increase engagement and retention; implemented scoring logic via progress tracking and Firebase-authenticated sessions.
• Engineered backend using Express and MongoDB to support secure user authentication and persistent progress storage.
• Deployed app to Vercel; contributed across frontend, backend, and email-verified auth flows; contributed developer and design feedback in PR-based QA development cycle with GitHub issue tracking and review workflows.

### Data Engineering Research Intern @ UC San Diego School of Medicine
Jan 2024 – Jan 2025 | La Jolla, San Diego, California, United States
Telomeres and brain organoids @ Rana Lab

• Developed scalable Python/Bash pipelines with bioinfomatics libraries, Pandas, Numpy, etc. to process raw FASTQ into cleaned CSVs and visualizations; handled 1.4M+ KB input and 13K+ line outputs with validation.
• Integrated lab-developed tools including Telogator2, TARPON (Oxford Nanopore), and TeloSeq into downstream analysis; supported chromosome-level alignment and allele-specific telomere resolution for end-of-study conclusions.
• Tuned CNN (Tensorflow)-based model & processed 12+ high-resolution 2-photon microscopy recordings (up to 7MB) for fluorescence signal extraction; validated motion correction & region detection accuracy through overlays & runtime stats.

### Data Science Consultant @ Out Of The Blue™
Jan 2025 – Jan 2025 | La Jolla, San Diego, California, United States
• Built interactive Streamlit + Plotly dashboard using Pandas, NumPy, and Scikit-learn to visualize and rank feature-stratified anomalies in e-commerce funnel behavior across 1M+ row Parquet datasets.
• Implemented forecasting models (Prophet, ARIMA) with cross-validation, parameter correlation, and time-based splits; tracked and created dashboards displaying model accuracy using absolute/squared error and rolling residuals across user interactions and orders.

### Independent Software Developer @ buildspace
Jan 2024 – Jan 2024 | San Francisco, California, United States
Project available at: https://epidemicsio.streamlit.app/
• Developed epidemiology simulator in both gridded torus maps and network models.
• Identified key risk factors for disease spread in various epidemics and implemented as agent properties.
• Utilized Mesa agent-based modeling, NetworkX, and web server launching in Python.
• Presented work @ 3-day IRL event with other developers, founders, artists, and creators.

### Data Engineering Research Intern @ University of Notre Dame
Jan 2024 – Jan 2024
• Constructed an automated Selenium + SerpAPI pipeline to retrieve live citation counts for 2,600+ publications; structured outputs in CSV/XLSX and linked to author-level metadata for scalable bibliometric analysis.
• Performed statistical evaluation of CSV-based metadata for 65+ researchers using Pandas; examined patterns in journal impact, publication type, and disciplinary distribution to assess research influence and rank impact.

### VP of Special Projects @ Fremont Debate Academy
Jan 2022 – Jan 2024 | Fremont, California, United States
• Used Excel (pivot tables, VLOOKUP, filtering) to optimize cohort assignments by age/experience for student engagement.
• Leveraged Google Apps Script to manage judge assignments for international/summer tournaments.
• Managed the largest program with 200+ students and 30+ student leads, raising $100K+ in 2 years.

### Lead Author - Pharmacokinetics @ Aspiring Scholars Directed Research Program (ASDRP)
Jan 2022 – Jan 2023 | Fremont, California, United States
SCCUR 2023
• Analyzed relationship between pharmacokinetic (PK) properties and various antibiotic classes | Preprocessed data mined from high-throughput databases, including Drugs@FDA and ChemBL.
• Aims to determine PK relationships to increase the efficacy of various drugs.

### Lead Author - Cheminformatics @ Aspiring Scholars Directed Research Program (ASDRP)
Jan 2022 – Jan 2023 | Fremont, California, United States
Publication: http://bit.ly/SB-ChemRxiv | SCCUR 2023
• Spearheaded Padel Descriptor generation of 20K+ values from Zinc and Coconut Databases | Created Random Forest Classifiers and Decision Trees to determine feature importance with ~95% accuracy.
• Aims to classify synthetic and natural products for applications in cheminformatics.

### Second Author - Biologics @ Aspiring Scholars Directed Research Program (ASDRP)
Jan 2022 – Jan 2023 | Fremont, CA
SCCUR 2023
• Researched the classification DNA Ligase molecules through relative geometry heuristic | Mined and organized data from PDB (Protein Data Bank) | Formulated mathematical methods in Pymol to determine DNA curvature and center points.
• Aims to classify proteins through novel mathematical heuristic.

### Taekwondo Instructor @ Park's Pinnacle Taekwondo
Jan 2022 – Jan 2023 | Tracy, California, United States
• Working as a teacher in a variety of classes, assisting in desk roles if necessary.
• Learning a new form of Taekwondo (Taeguek) while working.

### AI Ambassador @ Inspirit AI
Jan 2022 – Jan 2022 | Palo Alto, California, United States
• Reached out to organizations, clubs, and teachers around the world in order to create exposure to AI and increase publicity for Inspirit AI.
• Expanded my knowledge in AI with MIT and Stanford graduates to represent Inspirit AI.
• Created AI projects outside the program with other skilled individuals from Inspirit AI to research and explore concepts further.

### Researcher @ Inspirit AI
Jan 2022 – Jan 2022 | Palo Alto, California, United States
• Researched the object-detection properties of self-driving vehicles through YOLOv3 technology 
• Integrated preexisting models and tested new, original models with ~80% accuracy.
• Experience aims to expand knowledge in AI/ML and gain insight into new models for object detection.

### Taekwondo Instructor @ Choi's Martial Arts
Jan 2022 – Jan 2022 | Fremont, California, United States
• Worked as a teacher in a variety of classes (Hengdo), assisted in managerial tasks, taught private and group instruction.
• Independently conducted free half-hour booster classes for students (17 students for 3 belt tests) to prepare and help students excel.

### Lead Author - Economics and Epidemiology @ Aspiring Scholars Directed Research Program (ASDRP)
Jan 2021 – Jan 2022 | Fremont, CA
Publication: http://bit.ly/SB-JEI 
• Used Pandas, Matplotlib, and logistic regression techniques to determine COVID-19 prevalence/vaccination/SEP correlation 
• Implemented multigrid-based agent-based modeling in torus map with Mesa for null hypothesis.
• Work aims to further research effective public health policy.


## Education
### Bachelor's degree in Data Science spec. ML/AI, minors in Business Econ & Math
UC San Diego

### High School Diploma in Computer Science, Physics
Mountain House High School

### Irvington High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/sweekrit-bhatnagar

---
Source: https://flows.cv/sweekrit
JSON Resume: https://flows.cv/sweekrit/resume.json
Last updated: 2026-04-05