Machine Learning Engineer

Hi, I am Dipanshu Singh

Crafting intelligent solutions with AI, scalable systems, and practical product thinking.

Dipanshu Singh portrait

About Me

Who Am I

A highly motivated and skilled Computer Science professional with a strong foundation in Artificial Intelligence, Machine Learning, and Software Development. Adept at designing and implementing intelligent solutions, leveraging data-driven insights, and optimizing complex systems.

Experienced in database management, web development, and data analysis, with a keen eye for innovation and problem-solving. Recognized for academic excellence, adaptability, and a commitment to continuous learning.

Education

Bachelor of Science in Computer Science
Arizona State University, 2020-2024

Master of Science in Computer Science
Arizona State University, 2024-2025

My Skills

Languages

Python JavaScript C++ Java
Kotlin Bash SQL Dart C

Frameworks

PyTorch React Flutter Pandas
Keras ROS d3.js NumPy SciPy RoomDB MySQL RealmDB AWS

Tools

Git GitHub Jupyter Notebook Tableau
TensorBoard Agile Scrum VS Code

Web Technologies

HTML5 CSS3 JavaScript Figma
JSON Sketch Coolors Responsive Design

Projects

Current Projects

Ideas Den

A collaborative platform to share project ideas, receive feedback, and find global teammates with aligned skills.

Firebase React
Visit Project

Agentic AI for Multimodal Tabular Data Extraction

Built an AI system to detect, extract, and structure multimodal tabular web data while preserving chart and image relationships.

Achieved 91% structure preservation accuracy and reduced manual extraction from 3 hours to under 5 minutes.

Google API OCR LLM Selenium
View Report

Past Projects

VSLM - Very Small Language Model

Designed an end-to-end transformer language model training pipeline using Urban Dictionary data.

PyTorch Transformer BPE
Source Code

AI Flash Cards

Converts raw text and PDFs into personalized, spaced-repetition flashcards using Gemini API.

Gemini React Firebase
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Crime Analysis: Identifying Risk Areas

Engineered a geospatial GNN over ZIP-code nodes to predict crime hotspots with 86.96% test accuracy.

Machine Learning GNN Geospatial
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Tic-Tac-Toe Game

Mobile game with Minimax and alpha-beta pruning, difficulty levels, local storage, and Bluetooth multiplayer.

Android iOS AI

Context Monitoring App

Context-aware Android app using smartphone sensors and RoomDB for ongoing health monitoring.

Android RoomDB Health Tech
Source Code

Probabilistic Image Inpainting

Analyzed LaMa inpainting under different masks and noise conditions using PSNR, SSIM, and MSE.

Python CV Bias Analysis

Improving LLM Commonsense via Good Listeners

Fine-tuning on good-listener conversation data improved SocialIQA performance for emotional commonsense reasoning.

Python NLP SocialIQA
View Report

Social Media Photo Sharing App

Built backend features for uploads, likes, SQL integration, and recommendation-aware content flow.

JavaScript SQL Backend

Image Noise Generator

A web tool to inject noise into images for deep learning experimentation and analysis.

JavaScript HTML Python
Visit Project

Experience

February 2022 - Present

Technology Consultant

Arizona State University

Led and trained technical consultants in diagnosing and resolving educational technology challenges, reducing classroom downtime by 40%.

August 2023 - May 2024

Research Engineer - Autonomous Systems

Astro Seed | Arizona State University

  • Integrated ROS and DroneKit for autonomous navigation and image capture.
  • Designed and tested drone simulations in Gazebo for deployment readiness.
  • Implemented plant-health analysis algorithms using aerial imagery.

August 2021 - December 2021

Section Leader / Teaching Assistant

Ira A. Fulton Schools of Engineering | ASU

  • Co-delivered ASU-101 sessions and interactive learning support.
  • Mentored students and improved engagement and course outcomes.

Arizona State University - Key Courses

  • Artificial Intelligence
  • Machine Learning
  • Data Visualization
  • Computer Network Security
  • Mobile Computing
  • Data Processing at Scale
  • Human Computer Interaction
  • Operating Systems
  • Theoretical Computer Science
  • Software Engineering
  • Data Structures and Algorithms
  • Applied Data Analytics
  • Knowledge Representation
  • Natural Language Processing
  • Cloud Computing

2020 - 2024

Awards

  • Dean's List Scholar: Fall 2020 to Spring 2024

2022

Computer Vision Program

Carnegie Mellon University School of Computer Science

Intensive training in computer vision algorithms and applications.

2021

Artificial Intelligence Virtual Experience Program

Cognizant

Completed hands-on projects in AI applications for business solutions.

Get In Touch

Reach out anytime.

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Email

dipanshu3108@gmail.com

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Location

India