Mitesh Adake

Mitesh Adake

I work with data and train Neural Networks.

Python Machine Learning Deep Learning NLP LLMs Transformers PyTorch

Experience & Education

Work experience

Revenue Management Intern

Sep 2025 – Present
FedEx FedEx · Los Angeles, CA
  • Built 3 automated systems leveraging machine learning and probability models to automate pricing analyst workflows, cutting processing time from ~5 days to ~1 hour
  • Partnered with cross-functional teams to create dashboards and AI proof-of-concepts for data-driven pricing systems
Python ML AWS Pricing Analytics

Revenue Management Intern - Summer

Jun 2025 – Aug 2025
FedEx FedEx · Memphis, TN
  • Designed and developed an automated system using Python, SQL, Streamlit, and Docker to process user inputs and perform complex, business-critical database operations
  • Reduced manual processing time from ~10 days to ~10 minutes
Python SQL Streamlit Docker

Software Engineer

Aug 2023 – Jul 2024
FedEx FedEx · Hyderabad, India
  • Migrated Dataiku data pipeline to Ab Initio (ETL) for Harmonized Code search engine, resulting in annual cost savings of $1M
  • Optimized NLP code in Python, reducing data discrepancies from 25% to negligible levels and eliminating data shuffling from 75% of text data
Python Natural Language Processing SQL Ab Initio

Machine Learning Intern

Jun 2022 – Aug 2022
Persistent Systems Persistent Systems · Pune, India
  • Implemented NLP-based question deduplication on the company's community portal, reducing duplicate postings to 10%
  • Leveraged Python, Flask API, FastAPI, and Docker to create a scalable and robust solution
Python NLP FastAPI Docker

Data Engineer Intern

Nov 2021 – Apr 2022
NICE NICE · Pune, India
  • Built scalable, serverless real-time file ingestion using AWS (S3, DynamoDB, Lambda) and MongoDB
  • Streamlined data management tasks by implementing a user-friendly Python Flask interface
AWS MongoDB Python Flask

Education

M.S. in Computer Science

Aug 2024 – May 2026
USC USC Viterbi School of Engineering · Los Angeles, CA

GPA: 3.66/4.0

Courses: Applied Natural Language Processing, Advanced Computer Vision, Adversarial and Trustworthy Foundation Models, Analysis of Algorithms, Deep Learning and its Applications, Machine Learning for Data Science, Information Retrieval and Web Search Engines, Database Systems

Python Machine Learning Deep Learning Natural Language Processing Computer Vision Databases Large Language Models Agentic AI LLM Safety

B.E. in Computer Engineering

Jul 2019 – May 2023
PICT Pune Institute of Computer Technology · Pune, India

GPA: 3.84/4.0

Honors in AI and ML. Coursework in Data Structures, Machine Learning, NLP, and Deep Learning.

Python Java Algorithms Data Structures Operating Systems Computer Networks Database Management Systems Software Engineering Computer Graphics Machine Learning Natural Language Processing Deep Learning Blockchain Quantum Computing

Talks

IEEE Talk

Quantum Cryptography

Python implementation with Qiskit

 Qiskit Fall Fest

Qiskit 101 Live Demo

Hands-on quantum computing demo

 QAMP

Quantum-Classical ML

Comparative analysis research

Projects

TokenGen

TokenGen

Visualization tool to identify layer-wise token evolution patterns across 12+ transformer layers for GPT-2 and OPT models.

Transformers GPT Streamlit UMAP
Website GitHub

Hate Speech Unlearning for LLMs

Implemented Task Vector Arithmetic, Contrastive Learning, and Fine-tuning to remove hate speech from LLaMA 3 models, dropping harmful rate from 62% to 34%.

LLaMA 3 LLM Fine-tuning LLM Safety
AnyToken

AnyToken

Interactive HuggingFace tokenizer visualization tool

Website GitHub
PriceNet

PriceNet

Stock price prediction using Llama and Gemini for explainable financial time series forecasting

Llama Gemini FinTech
Phishing Detection

Real-time Phishing Detection

Production ML models with Edge browser extension. Built during B.E. at PICT, Pune (undergraduate).

Extension Paper
Object Detection

Real-time Object Detection

High-performance computer vision system. Built during B.E. at PICT, Pune (undergraduate).

GitHub

Beyond the Code

Community

  • Mentored IISC-IEEE Quantum Communications workshop as Qiskit Advocate
  • Conducted hackathons and hands-on sessions on Quantum Computing (Credly Badges)

Interests

  • Chess Player (US Chess profile)
  • Football/ Soccer enthusiast
  • Kaggle competitions
Kaggle - Open Problems Single-Cell Perturbations Kaggle - LLM Science Exam

Inspired by Andrej Karpathy's approach to making AI accessible and Richard Feynman's philosophy of understanding through teaching.