Hello!

I'm Akshata Tiwari



CS/AI @ MIT

LinkedIn Github

Akshata Tiwari

Massachusetts Institute of Technology (MIT)

Computer Science/AI, Finance

May 2026

Skills

PYTHON
Algorithms and Data Structures
Machine Learning
Front-end development
Data Analysis

About

About Me

I'm an undergraduate at MIT committed to strengthening skills in computer science, artificial intelligence, and finance. Having prior experience with software engineering, web development, and machine learning, I am passionate about leveraging new technologies to deliver scalable solutions. I'm always looking for ways to grow, and am open to any new challenge and opportunities!

  • Relevant Coursework: Math for CS, Probability and Statistics, Data Structures and Algorithms, Fundamentals of Programming, Programming in C/Assembly, Computation Structures, Machine Learning, Managerial Finance
  • Languages: C++, Java, MATLAB, JavaScript, HTML, CSS
  • AI: Natural-language, computer vision, large-language, diffusion models
  • Clubs and Societies: HackMIT, Society of Women Engineers, AI@MIT, MIT StartLabs, Scholars of Finance

0 +   Projects completed

Resume

Resume

Resume

Experience


Jun. 2025-Aug. 2025

Citadel

Incoming Software Engineering Intern

  • Developing and optimizing high-performance systems for low-latency trading, ensuring reliability in fast-paced market conditions.
  • Partnering with engineers and traders to address complex challenges in market modeling, execution strategies, and risk management. Engineering scalable tools to process and analyze large financial datasets, supporting data-driven decision-making.

Jan. 2025-Feb. 2025

Nasdaq

ML Engineering Intern

  • Contributed to strategic projects within Nasdaq's AI Platforms team, focusing on full-stack development and machine learning solutions.
  • Participated in the end-to-end process of data collection, annotation, model training, and evaluation, enabling data-driven decision-making for financial systems.

Jun. 2024-Present

SRI International

ML Engineering Intern

  • Engineering and optimizing diffusion models using PyTorch to handle out-of-distribution medical image inputs; developed and deployed model training pipelines, generating over 50,000 high-quality medical images.
  • Trained NLP models for medical data preprocessing, integrated diffusion models and transformer architectures to produce seamless data augmentation framework, performed code reviews, testing, and produced well-documented code.

Jan. 2024-Jun. 2024

MIT Sloan School of Management

Software Engineering Intern

  • Designed pipeline to detect MEV sandwiching attacks during Ethereum transactions.
  • Contributed to documentation, code review, and bug reporting of MindMeld, a gen-AI application. Designed testing framework using Python and Selenium, and adhered to Agile software development practices.

Jun. 2024-Present

MIT Laboratory for Financial Engineering

Undergrad Researcher

  • Designing, training, and evaluating natural language models to generate a biomedical patent portfolio for optimal investment strategies; researched financial markets, created testing framework to compare acc. of generated portfolios.
  • Fine-tuned BERT models for data collection, performed data augmentation with NLP/OCR and web-scraping methods.

Jun. 2024-Present

SureStart

Program Facilitator

  • Working with SureStart to design and implement innovative AI-focused program.
  • Oversee high-level operations, student-mentor interaction, mentor development, and executive communications to promote a dynamic learning environments.



Honors and Awards


  • IEEE Top 50 International Research Grant Winner (2024)
  • USA Regeneron Science Talent Search Top 300 Scholar (2023)
  • Honorable Mention: California Science and Engineering Fair (2022)
  • USA Computing Olympiad Silver Division (2022)
  • 1st Place Research: Orange County Science Fair (2022)
  • PhysicsBowl Top 4% Scorer (2021)
  • Presidential Volunteer Service Award - Gold (2021)

Publications

Publications

Non-Invasive Stress Monitoring from Video

Published at the IEEE International Symposium for Biomedical Imaging (ISBI) 2024

The Effectiveness of Deep Learning on Erasing Satellite Streaks In Astronomical Photos

Published at IEEE International Conference on Transdisciplinary AI (TransAI) 2022

Non-Invasive Stress Monitoring From Video For Semi-Autonomous Systems

Poster Presentation at the International Conference on Machine Learning (ICML) 2022.

New Approaches for Winner Determination via Minimum Weighted Vertex Cover Computations

Published at the International Conference on Artificial Intelligence: Theory and Applications (AITA) 2024

Projects

Projects

Non-Invasive Stress Monitoring for Semi-Autonomous Systems

Developed multi-modal system that integrates computer vision models to evaluate stress indicators through facial recordings, and alerts the user if they exhibit medium to high stress levels.

LaTeXify: A LaTeX auto diagramming app

Worked with 4 peers to develop an end-to-end LaTeX autodiagramming sotware that converts images of hand-drawn diagrams to tikZ (LaTeX) code.

Diffusion Models for Medical Image Generation (@ SRI International)

Integrated diffusion models and transformer architectures to handle out-of-distribution medical imaging data, handling multiple modalities. Currently in-progress, code not available.


SiLT - A Sign Language Translator

Developed a sign language translator that detects hand-signals in real time, in a letter-by-letter manner.

LLM-based Drug Repurposing (@ MIT LFE)

Designing a natural-language model to evaluate medicine repurposing. Currently in-progress at MIT's LFE, code will be updated soon.

Gaussian Methods for Asteroid Orbit Determination

Conducted observations and used Python to determine the orbital elements for asteroid 1994 PC1. Project conducted at the Summer Science Program (SSP).

More projects on Github

I'm passionate about using tech to come up with real-world, scalable solutions.


GitHub

Contact

Contact Me

Want to connect?

Address

Cambridge, MA

LinkedIn

LinkedIn

Email Address

tiwari.akshata.direct@gmail.com

Resume

Resume

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