About Me

Experience

7+ years in industry
6 years ML Engineering 2 years vibe coding

Core Skills

Python PyTorch Docker FastAPI Google Cloud Prompt Engineering

Technical Solutions

OCR Computer Vision NLP Transformers Training & Fine-tuning LLMs

Industry Domains

Retail Receipt Scanning
Software Testing Visual Testing e2e Test Generation Source Code Analysis

Personal Work/Writings

Apr 2023

Long Pythia

Explored token length extension when it was common to have 2048 or 4096 context length.

Apr 2020

Getting the Most Out of Pre-trained Models

Deep dive into pre-trained NLP models like GPT-2 and T5, exploring their capabilities for text generation, question answering, summarization, and transfer learning applications. Originally published on Toptal.

Jun 2019

Recent Advancements in AI

Comprehensive overview of AI breakthroughs in 2019, covering text generation, image synthesis, audio creation, and video/animation technologies that were transforming industries.

May 2019

This Icon Does Not Exist — GAN for Icon Generation

An application of Generative Adversarial Networks to icon generation, exploring mode collapse and training challenges with a custom dataset.

Apr 2019

Deploy ML on Cloud Run

Complete tutorial on deploying machine learning models to Google Cloud Run using Docker and GPT-2 as an example.

Apr 2019

Cloud Run — Future Tech

Explored Google's revolutionary serverless container platform and its comparison with traditional serverless and container technologies.

Mar 2019

Deep Learning in Cloud

Explored the cloud computing options for deep learning.

Professional Experience

Sr. Machine Learning Engineer @ Autify

May 2020 - June 2025 | Tokyo, Japan

Jan 2025 - June 2025 Bootstrapped project Lexa:

  • Generate PRD from Source Code
  • Vibe-coded entire desktop app using cursor in Swift UI
  • Vibe-migrated the desktop app to Electron for multiple platforms

Jan 2024 - Dec 2024 Bootstrapped project Genesis:

  • Designed Prompts for the following:
    • Generate Test Cases from PRD
    • Generate Test Scenarios from Test Cases
    • Generate Playwright code from Test Scenarios using Agentic AI
  • Build Backend/frontend using LLMs

July 2023 - Dec 2023 Developed Step Suggestion Chrome Extension:

  • Wrote frontend code in PReact
  • Wrote Backend in Python/FastAPI
  • Developed the algorithm to slim down the HTML
  • Designed the prompt to provide next step suggestions based on current page

Jan 2022 - June 2023 Core Deep Learning Work:

  • Developed MLUI, an ensemble of ML models for parsing screenshot of mobile apps
    • A custom OCR model based on encoder-decoder transformer architecture trained on synthetic data
    • Retina net fine-tuned on rico + internal dataset for detecting UI elements
    • A post processing model to merge the output of the above two models
  • Deployment of MLUI at scale on GKE using cost-effective GPU & queue optimizations
  • Explored Reinforcement Learning for automated testing

Jan 2021 - Dec 2021 Built the baseline ML Infrastructure at Autify:

  • Set up Google Cloud GKE for ML Deployment
  • Set up pipeline for VRT (Visual Regression Testing) algorithm deployment at scale on GKE
  • Fine-tuned Adobe Semantic Web Segmentation model
  • Explored Visual Self-Healing using Template Matching

May 2020 - Dec 2020 Early Exploration of Application of ML on Web Apps:

  • Implemented OpenCV-based web screenshot comparison
  • Fine-tuned BERT on HTML data
  • Optimized the weights of an internal feature extraction algorithm using evolutionary algorithms