cv
A high level overview of my past work. If any of this is interesting, reach out!
Basics
| Name | Aditya Mangalampalli |
| Label | Research Scientist / Quant Researcher |
| amangalampalli@berkeley.edu | |
| Url | https://linkedin.com/in/aditya-mangalampalli |
| Summary | Berkeley student focused on Machine Learning applied to large language models and AI. Incoming Research Scientist at OpenAI. Experienced in quantitative research, statistical modeling, and software engineering. |
Work
-
2026.07 - Present San Francisco, CA
Incoming Member of Technical Staff
OpenAI
Yet to be matched with a team, but Research Scientist/Engineer
- Large Language Models
- High Dimensional Statistics
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2025.11 - 2026.02 San Francisco, CA
Machine Learning Intern
Mosaic Intelligence Labs
Working on CT Angiogram Reconstruction to map a 2D Scan into 3D mesh space.
- 3D reconstruction
- Computer vision
- Deep learning
-
2025.06 - 2025.08 New York, NY
Software Engineering Intern
Schonfeld Strategic Advisors
Built low-latency market data and telemetry systems and monitoring to support real-time trading workflows.
- Real-time data pipelines
- Order book reconstruction
- Statistical anomaly detection
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2024.05 - 2024.08 Chicago, IL
Quantitative Research Analyst Intern
Deutsche Bank Asset Management
Applied machine learning and statistical methods to portfolio research and data pipelines for systematic strategies.
- Portfolio ML + optimization
- Stat arb research
- Automated data pipelines
-
2023.05 - 2023.08 Austin, TX
Software Developer Engineering Intern
General Motors
Worked on robotics calibration and localization using ML/optimization on real-time sensor data.
- Robotics + perception
- Optimization for calibration
- Production deployment
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2023.04 - 2023.05 London, UK
Quantitative Research & Trading Intern
Unsigned Research
Built and tested systematic crypto trading ideas using volatility modeling and mixed feature sets.
- Volatility modeling
- Backtesting
- Systematic strategy research
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2022.12 - 2025.06 Berkeley, CA
Undergraduate Researcher (High Performance Computing)
UC Berkeley EECS — RISELab
Research on how reasoning and symbolic structure emerge in large language models; built analysis tooling for embeddings and evaluations.
- LLM reasoning experiments
- Dataset curation
- Representation analysis
Volunteer
-
2022.08 - 2026.05 Berkeley, CA
Staff Member
Open Computing Facility (UC Berkeley)
Led engineering and taught Linux systems concepts in a student-run computing organization. Was formerly DeCal Head, Finance Head, Internal Head, and led an LLM project.
- Systems leadership
- Linux instruction
- Community support
Education
-
2022.08 - 2026.05 Berkeley, CA
B.A., B.A.
University of California, Berkeley
Statistics, Data Science
- Machine Learning
- Data Engineering
- Statistical Modeling
- Computer Vision
Awards
- 2022, 2023, 2024
Putnam Competition (High Placement)
William Lowell Putnam Mathematical Competition
High placements across multiple years in competitive mathematics.
- 2023.03.13
Citadel x Citadel Securities West Coast Datathon Finalist
Citadel, Citadel Securities
Finalist recognition in a global datathon competition focused on quantitative finance challenges.
- 2024.01.20
Citadel x Citadel Securities UC Berkeley Trading Challenge Winner
Citadel, Citadel Securities
Won 1st place in a university-wide trading challenge hosted by Citadel and Citadel Securities.
- 2020, 2021, 2022
AIME Qualifier
Mathematical Association of America
Multiple-time qualifier for the American Invitational Mathematics Examination.
- 2022.05.01
Regeneron ISEF Grand Finalist
Regeneron International Science and Engineering Fair
Finalist recognition for research work at the international level.
Skills
| Programming | |
| Python | |
| C/C++ | |
| R | |
| Java | |
| Rust | |
| TypeScript | |
| JavaScript | |
| SQL | |
| PostgreSQL |
| Systems & Data | |
| Low-latency systems | |
| Data pipelines | |
| Streaming telemetry | |
| Market data |
| Machine Learning & Quant | |
| Statistical modeling | |
| Optimization | |
| Time series | |
| Backtesting |
| Tools & Frameworks | |
| React | |
| Kotlin | |
| Swift |
Languages
| English | |
| Fluent |
| French | |
| Business Proficient |
| Dutch | |
| Business Proficient |
Interests
| Poker | |||||||
| Chess | |||||||
| Academic research | |||||||
| Travel | |||||||
| Volunteering | |||||||
| Open-source | |||||||
Projects
- 2022.05 - Present
Optimized Trading Platform (Commodity Cluster)
Algorithmic trading platform designed for live data processing and automated execution on compute infrastructure.
- Live market data ingestion
- Research-to-execution workflow
- Performance-focused implementation
- 2020.03 - Present
Open-Source Contributions
Ongoing contributions to scientific computing and ML ecosystems.
- Scientific computing libraries
- Developer tooling
- Community collaboration