Hello, World.

I'm Mitanshu Reshamwala.

Data Scientist Software Engineer

More About Me
About

Let me introduce myself.

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I'm a seasoned Full Stack ML engineer with a strong background in both data and software, holding a Master's degree in Computer Science from NC State University. My professional journey is driven by a passion for innovation and problem-solving, particularly within the realms of Data Science, Software Development, and DevOps.

Resume

Work Experience

Data Scientist

Jan 2023 - May 2024

US Dept. of Agriculture - Hulse-Kemp Lab

Developed and deployed deep learning models for precise image segmentation of citrus fruit. Achieved a state-of-the-art mIOU of 0.82 using a Transformer-based Segformer architecture, enabling accurate seed counting (MSE: 1.96) and boosting productivity. Additionally, designed an EfficientNet-LinkNet model in TensorFlow, reaching a mIOU of 0.79 while reducing segmentation time by 75% (from 10 minutes to 3 seconds).

Extracted valuable features from audio logs using Whisper AI and NLTK's POS tagging, enabling deeper data insights and interpretations. Led the development of a data pipeline integrating Fieldbook app data into the Breedbase database. Leveraged Whisper AI for accurate transcription and the Gemma model for efficient data extraction with an accuracy of 75%, ensuring seamless data flow for analysis and informed decision-making.

Curated a comprehensive dataset of 750 segmented citrus fruits, facilitating in-depth research on various varieties. Established a robust data pipeline using Weights and Biases for efficient image preprocessing and model generation across diverse datasets. Implemented rigorous evaluation methods to select the optimal model for inference, maximizing overall performance.

Product Manager Intern

Feb 2022 - May 2022

Kunato.Ai

Identified and implemented 2 new KPIs for article revenue monitoring through author-specific data analysis, leading to improved understanding of publisher dynamics.

Led a comprehensive usability test with 50 users, extracting over 25 actionable insights that shaped future development strategies.

Conceptualized, designed, and implemented 3 innovative product features that aligned with market demands and directly enhanced the overall product value proposition.

Streamlined interdepartmental collaboration by crafting a meticulous Product Requirement Document (PRD). This facilitated seamless coordination and synergy across teams, boosting productivity and innovation.

FullStack Freelance

Oct 2021 - Feb 2022

Freelance

Crafted a robust MERN stack solution for a medical e-commerce platform, facilitating secure transactions for the purchase and sale of essential medical supplies. Strengthened security measures through implementation of rigorous authentication protocols and seamless integration with Razorpay for secure payment processing.

Engineered inventory management functionalities alongside automated reminder systems, ensuring timely notifications for low stock or refill requirements to both customers and pharmacists. Resulted in heightened sales figures and elevated levels of customer contentment.

Data Analyst

Jun 2020 - Jul 2020

Finance Lookup Advisors

Conducted detailed analysis of life and health insurance sector in India, resulting in identification of key market trends and opportunities for growth. Findings were used to create a social media post that gained 10% above average interactions.

Built an Invoice Data Extractor using Tesseract OCR, reducing processing time by 60% and improving accuracy by 80%.

Research And Development Engineer Intern

Jan 2020 - Jul 2021

TATA Power

Developed a real-time dashboard using React that enabled stakeholders to monitor power consumption in real time, identify trends, and optimize energy usage.

This project reduced the mean absolute error (MAE) to under 5% from 10%, satisfying government mandates and avoiding fines of INR 0.5 per unit of electricity deviation.

AI Engineer Intern

Mar 2019 - May 2020

India Meteorological Department

Developed a highly accurate weather prediction model using GRU and Tensorflow, achieving a significant increase in accuracy from 60% to 80%.

Implemented a continuous data pipeline with Airflow to extract data from an FTP site, preprocess it, and serve the best available model on the Google Cloud Platform.

Education

Master Degree

Aug 2022 - May 2024

North Carolina State University

  • Design and Analysis of Algorithms
  • Software Engineering
  • Efficient Deep Learning
  • Database Management System
  • Resource Dependant Neural Networks
  • Design of Computer Vision System for Autonomous Navigation
  • DevOps
  • Machine Learning for User Adaptive System
  • Strategic Management Foundation
  • Object Oriented Design and Development

Bachelor Degree

Jul 2018 - May 2022

KJ Somaiya Institute of Engineering and IT

  • Discrete Structures
  • Data Structures
  • Computer Organisation and Architecture
  • Computer Graphics
  • Operating System
  • Database Management System
  • Computer Network
  • Theory of Computer Science
  • Advance Algorithm
  • Data Warehousing and Mining
  • Cryptography and Security
  • Machine Learning
  • Artifical Intelligence
  • Big Data Analystics
  • Computer Vision
  • Augmented and Virtual Reality
Portfolio

Check Out Some of My Works.

Services

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