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I am Sachin Lodhi



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Name: Sachin Lodhi

Job Role: Graduate Research Assitant

Experience: 11 Months

Address: California, USA

Skills

Python 95%
C++ 80%
Data Analysis 90%
Machine Learning 90%
Computer Vision 80%
Deep Learning 80%

About

About Me

I am a seasoned data scientist & machine learning engineer with 2.5 years of experience, currently pursuing a Master's in Computer Science at California State University Fullerton. My expertise spans AI, deep learning, and computer vision, honed through diverse research projects and industry collaborations. I excel in predictive modeling, image analysis, and developing innovative AI solutions to tackle complex real-world challenges across various domains.

  • Profile: Data Science & Machine Learning
  • Domain: Education, Autonomous Vehicles & Computer Vision
  • Education: Masters of Computer Science
  • Programming Languages: Python, C++, Javascript & SQL
  • Tools[ADD MORE]: Google Colab, Github, Arduino, ZED-SDK,
  • Other Skills[ADD MORE]: Image Processing, Excel, OCR, ADAS, Cloud, PySpark, Excel, Git, JIRA, Google Analytics & SEO
  • Interest[MODIFY]: Writing, Working Out, Calisthenics, Teaching

0 +   Projects completed

LinkedIn

Resume

Resume

Data scientist and machine learning engineer with 2.5 years of experience. Pursuing MS in Computer Science, specializing in AI, deep learning, & computer vision. Skilled in predictive modeling and developing innovative AI solutions for real-world challenges.

Experience


2023-Present

Research Assistant(Data Science)

Cal State Fullerton

California State University, Fullerton (CSUF), a public university advancing data science and AI research through innovative projects like LUMINATE.

  • Led the development of an AI solution within Project LUMINATE(led by Dr. Kanika Sood), accurately predicting student dropout risk with 90.4% accuracy.
  • Performed 250+ experiments with different configurations to enhance the collective performance from 50% to 80%.
  • Applied machine learning techniques to educational data, contributing to innovative solutions in student success prediction.

2023-Present

Control-Autonomous Lead

Titan Rover @CSUF

Titan Rover at CSUF, a student-led engineering project developing autonomous Mars rovers for international competitions like the University Rover Challenge.

  • Leading 10-person team for Mars rover autonomous navigation, collaborating on URC rover integration and system architecture.
  • Developing advanced autonomous driving components: real-time depth sensing, dynamic object avoidance, and efficient path planning algorithms.
  • Working closely with the control team to program and optimize motor controllers to execute precise actions based on sophisticated path planning algorithms.

2024-Present

Computer Science Lead

Institute of Navigation @CSUF

Institute of Navigation (ION) at CSUF, a student-led initiative developing advanced navigation systems and autonomous robots for the Intelligent Ground Vehicle Competition (IGVC)

  • Leading the interdisciplinary Computer Science team that provides advanced mobility and precise control systems to the autonomous Bot (Lillith).
  • Developed innovative Custom Bird Eye View (BEV) tool to dynamically convert front-view camera data to an actionable top-down perspective.
  • Collaborating the control team to program and optimize responsive motor controllers, implementing path planning algorithms for autonomous navigation.

2021-2023

Deep Learning Research Assistant

Freelancing

Worked with Dr. Sakshi Arora as research assistant in computer vision and deep learning domain.

  • Collaborated with multidisciplinary experts on research in handwritten mathematical expression analysis and computer vision applications.
  • Developed End-to-End DNN model for handwritten math expression segmentation, achieving 82.4% mean IOU score.
  • Applied transfer learning and implemented various deep learning architectures for diverse applications including medical image analysis, educational technology, and object detection.



Education


2023-Present

Master of Science in Computer Science

California State University, Fullerton(USA)

GPA: 3.78

2017-2021

Bachelor of Technology in Computer Science

Barkatullah University, Bhopal(IN)

Grade: First class distinction.

Download CV

Projects

Projects

ScanSentinel (QR Code Safety Analyzer)

Analyze and Identify if the QR-code is safe to access before actually accessing it with 98% accuracy

Multilingual Diceware Passphrase Generator

Online & free tool to generate uncrackable yet easy-to-remember passphrases of desired length in more than 11 languages

AI-Enabled Advanced Vaccination System

Developed a fully working web application that boosts the whole vaccination pace by 300%


Bird-Eye View Generator for Autonomous Driving

Developed the tool to generate bird-eye view using the ZED camera feed to assit in path-planning and autonomous navigation

C0de-Explainer

A web application that helps you understand the codes using AI.

HME-Segmentation Tool

U-Net based custom built tool for to segment handwritten mathematical expression


Python Implementation of the PhyCV algorithm

Developed the Python GUI implementation for PhyCV, the pioneering physics-inspired computer vision library from Jalali Lab at UCLA, enhancing its accessibility and user interaction.

C0de-Explainer

A web application that helps you understand the codes using AI.

HME-Segmentation Tool

U-Net based custom built tool for to segment handwritten mathematical expression

Publications

Publications

Deep Neural Network for Recognition of Enlarged Mathematical Corpus

Developed a deep neural network achieving 99.1% accuracy in recognizing handwritten mathematical expressions from a dataset of 236,057 images collected from Indian students.

Impact of varying strokes on recognition rate: A case study on handwritten mathematical expressions

Conducted a comparative study on the impact of stroke width variability in handwritten mathematical expressions, utilizing deep neural networks to demonstrate significantly improved recognition rates with diverse stroke widths.

End to End Deep Neural Network: An approach to clean noisy documents

Developed an Encoder-Decoder model to enhance the quality of digitized documents, addressing issues like noise and blurred text, achieving 66.33% accuracy on a 2000-image dataset.


Applying Deep Learning in Mars Exploration: A neural network-based study to classify Martian terrain features

Developed a convolutional neural network achieving 94.8% accuracy in classifying seven Martian terrain features from NASA's HiRISE dataset, contributing to Mars exploration research.

Neural Network based approach to diagnose and classify Monkeypox disease

Developed a neural network-based solution achieving 94.38% accuracy in early-stage classification of monkeypox, addressing the challenge of differentiating it from similar viral diseases.

0 Achievements
0 Projects
0 Mentored Students
0 Cups of coffee

More projects on Github

Solving real-world problems using AI brings me peace.


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Fullerton, California

Email Address

sachinlodhi@csu.fullerton.edu

Download Resume

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