Manav Aggarwal 🧸
EECS Student at UC Berkeley
Merit-based scholarship awarded to the top 1% of undergraduates at UC Berkeley.
Top 161 students in the nation, awarded by President Joe Biden.
About Me
Hi there!
I'm Manav, and I'm a Regents' Scholar studying Electrical Engineering and Computer Science at Berkeley. I'm currently seeking 2026 internships, and most of my experience has been in infrastructure/systems, machine learning, and full-stack development.
Outside of school, you'll find me cooking, playing soccer, or building creative ML projects with friends in LaunchPad!
I love learning anything and everything -- slowly figuring things out. Feel free to reach out anytime!
Clubs & Activities
Launchpad
Vice PresidentWe build creative Machine Learning projects! We also host ML paper reading groups and workshops. As Vice-President, I organize our external client engagements and ensure we're fiscally responsible.
Valley Consulting Group
Senior ConsultantWe solve real-world business and technology problems for Fortune 500 Tech companies. I currently serve as a development mentor where I help new members build their technical and presentation skills.
Poker at Berkeley
MemberI like to play poker!
Computer Science Mentors
Senior MentorI lead biweekly tutoring sessions for 5+ students in CS 61A, teaching core concepts and guiding them through practice problems. As a Senior Mentor, I also coach fellow mentors on effective teaching strategies/pedagogy.
Experience
Automated Scaling Team
I built an end-to-end predictive host count tool which improved our customers' performance efficiency by 36% on average.
Alignment Team
I developed a reinforcement learning with human feedback (RLHF) pipeline to ensure our LLM did not give medical advice nor false information.
University Team
I built a full-stack data analytics dashboard to track institutional donation and outreach trends.
NASA
I conducted software-side tests on the personnel door gaskets for NASA's Artemis II Rocket. I also worked with the R&D team to model lattice structures to simulate crystal behavior during nuclear fission.
I sequenced and processed 20M+ genetic sequences to improve taxonomic accuracy for Liriope muscari. Our results were published in BOLDSystems.
Skills
Projects
I Know a Spot
Designed a social app for discovering and sharing local finds with friends through a QR code-based friend system, featuring personalized recommendations and interactive maps with real-time geolocation tagging.
H(ai)l Mary
Built an NFL/NBA player proposition predictor with 75% inference accuracy using a modified DeepGBM architecture.
Wall Street Simulator
Created a secure paper-trading platform using Flask with real-time stock market data integration, enabling users to practice trading without financial risk through a scalable NoSQL database system.
NGrams Built from Scratch
Implemented WordNet from scratch, constructing a graph-based lexical database to model English word relationships and enable semantic queries such as hyponym and synonym retrieval.
Plants vs Zombies Videogame
Developed a complete recreation of the classic tower defense game with custom graphics, game mechanics, and interactive gameplay elements.
Yoda-Bigram
Built a bigram language model using PyTorch that impersonates Yoda's speech patterns.
DNA Analysis
Developed an algorithm that identifies people based on analysis of their Short-Tandem-Repeats (STRs), implementing DNA profiling principles used in forensic analysis with CSV database matching.
Readability
Developed a text readability analyzer implementing the Coleman-Liau index to automatically determine U.S. grade-level comprehension from written content.