Mohit Garg Email & Phone Number

Atlanta, Georgia, United States

• Used Python and Transformers to develop an autonomous HTML optimization model
• Reduced API costs by 80% by developing a fine-tuned LLM for website content detection
• Implemented detection of alerts, modal pop-ups and other UI elements from an arbitrary HTML with BeautifulSoup
• Developed a custom tokenizer using Seq2Seq to achieve 60% improvement in model accuracy
• Tech: Python, Transformers, LLM, Machine Learning, Seq2Seq, tokenization, UI/UX, BeautifulSoup

Atlanta, Georgia, United States

• Used OpenCV and Tabula to implement legal document classification and recognition of 150 documents with full accuracy
• Used React, Selenium and NodeJS to develop ~20 API endpoints to connect document recognition with the frontend
• Used AWS EC2 and IAM to create a server and set up keys for different security levels
• Increased customer discovery by 300% by compiling a cold calling script, email, and message.
• Attracted $30,000 in pre-seed investment from the FUSEN fund
• Pitched the company to the Create-X startup incubator and got admitted within 3% of 1000 applications

Sydney, Australia

• Published Research: Properties of Pulsars in the Rapid ASKAP Continuum SurveyObjective: Discover pulsars by analyzing the polarized radiation data obtained from the ASKAP telescope
• Developed a population model of active cosmic events by cross-matching ~700 data points using Python and AstroPy
• Conducted statistical analysis using processed data to develop a predictive model, leading to discovery of ~70 cosmic events
• Mentored a new team member and introduced the tech stack and the problem to help them acclimate
• Tech: Python, Statistical Analysis, Pandas, Matplotlib, Communication

Milwaukee, Wisconsin, United States

• Research: Bayesian Analysis and Monte Carlo Markov Chain Simulation
• Developed a Randomized Markov Chain to parse through 10 TB of data and detect pulsar timing arrays with an 80% accuracy
• Developed a guide for students to solve the spectral line problem through a combination of RMC and Bayesian Analysis
• Performed comparative analysis of RMC, emcee, and BayesHopper to identify the best approach and quantify the advantage
• Tech: Statistics, Markov Chains, Bayesian Analysis, Python, emcee

Abu Dhabi Emirate, United Arab Emirates

• Conference on: Geometry, Topology and Physics II
• Attended a high-profile international conference bringing together leading researchers from the Gulf region, Middle East,and beyond to foster interdisciplinary collaboration.
• Engaged in discussions on cutting-edge developments in the geometry of the universe, with a focus on differentialgeometry, algebraic topology, and mathematical physics.
• Contributed to building collaborative networks aimed at advancing research in geometry and theoretical physics.
• Conducted under mentorship of Dr. Hisham SatiSkills: Topology, 11-d M-theory, Invariant Surfaces, Number Theory, N-d Geometry

Bs Hons. Computer Science, Bs Hons. Physics

• HyTech Racing - Electric Drives Team • GT Student Foundation - Investments Committee CS Concentrations: Artificial Intelligence.

Bs Computer Engineering, Bs Physics

• Ultimate Frisbee - Varsity B Team

Advanced Relativity, Astrophysics, Gpa - 4.0/4.0