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MACHINE LEARNING ARCHITECT
& FULL STACK DEVELOPER

Innovator, Creator, Visionary. I specialize in blending cutting-edge AI/ML technologies with full-stack development to craft seamless, scalable, and impactful digital solutions. From revolutionizing industries with data-driven insights to building user-centric web and app experiences, I strive to empower businesses with the tools of the future.

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Arslan Parkar Hello

Hello.

A Machine Learning Architect, UX/UI Designer, and Product Visionary. With a deep passion for technology, I have spearheaded AI/ML projects, developed user-centric digital experiences, and contributed to impactful research in academia and industry. My goal is to create scalable, transformative solutions that solve real-world challenges.

Background: From founding Infobay to scaling operations across healthcare and finance, to researching AI-powered solutions at Northeastern University, I bring a wealth of knowledge and experience to every project I undertake.

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Arslan Parkar
About Me

Experience

Research Assistant

Northeastern University, Boston | Jan 2024 – Present

Architected ML solutions for gaming data analysis and built scalable platforms for academic research.

  • Designed data visualization tools to analyze game evolution trends.
  • Collaborated with academic teams to publish research papers on ML applications.

Founder & Technology Head

Infobay, Mumbai | Nov 2021 – July 2024

Led the development of innovative AI/ML solutions for healthcare and finance industries.

  • Developed an AI-powered debt recovery system, reducing defaults by 25%.
  • Implemented predictive analytics to optimize patient care in hospitals.
  • Scaled the company to serve 25+ clients, achieving a consistent 40% annual revenue growth.
  • Designed dashboards for real-time analytics, enhancing client decision-making processes.

Web Administrator

Blustream Integrated, Mumbai | Mar 2021 – July 2022

Managed and optimized website performance, improving user engagement by 15%.

  • Implemented SEO strategies that boosted organic traffic by 20%.
  • Enhanced website security by conducting vulnerability assessments.
  • Developed custom WordPress themes and plugins for client websites.

Web Developer

DigitalBeej, Mumbai | May 2020 – Dec 2020

Developed high-performance landing pages with a focus on user experience and conversion rates.

  • Achieved 100,000+ views/month on landing pages with a 10% conversion rate.
  • Created responsive web prototypes to improve navigation and accessibility.
  • Automated content updates, reducing manual workload by 50%.

My top 3 Experties.

01.
Arslan Parkar - Machine Learning

Machine Learning

Specializing in advanced ML techniques like CNNs, DenseNet, and generative AI, I craft data-driven solutions for tasks such as image analysis, predictive modeling, and language processing. My work focuses on using LLMs and AI to deliver transformative results in real-world applications.
02.
Arslan Parkar - Project Management

Project Management

Leveraging my leadership skills, I ensure seamless project execution from planning to delivery. I excel in managing cross-functional teams, defining clear roadmaps, and optimizing workflows to consistently deliver projects on time and within budget while exceeding client expectations.
03.
Arslan Parkar - MERN Stack Development

MERN Stack Development

With expertise in MongoDB, Express.js, React, and Node.js, I create robust and scalable web applications. I focus on building responsive, user-friendly interfaces and back-end systems that deliver seamless performance and ensure exceptional user experiences.
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Platforms I work on.

Technical Skills

Python

C/C++

React

MongoDB

Node.js

Java

Spark

Hadoop

Power BI

Git

Linux

Generative AI

Reinforcement Learning

REST APIs

Mathematics

AWS

MySQL

Areas of Expertise

Machine Learning

Big Data Architecture

Software Architecture

Operations Management

Product Management

Problem Solving

My Projects

Konnect Insights
Arslan Parkar Previ Distribution

INFOBAY
Arslan Parkar Hksfloorings

Dierks Company
Arslan Parkar ambikacity

HKS Floorings
Arslan Parkar logoinfosoft

UPL Global
Arslan Parkar thewoodsvillas

Lawrence & Mayo
Arslan Parkar logoinfosoft

explore Portfolio

Projects

AI in Finance

Built an AI-driven debt collection system for under-resourced banks in the Middle East. This project aimed to automate debt recovery processes, create actionable insights, and improve efficiency for financial institutions.

Key Features:
  • Automated **30, 60, 90-day delinquency buckets** to classify overdue accounts.
  • Developed an **ML model** to predict the likelihood of repayment by defaulters.
  • Implemented automated workflows for **email, SMS reminders**, and field visits for debt collectors.
  • Streamlined operations, reducing manual intervention and increasing recovery rates by 25%.
Technologies Used: Amoga, Python, AWS.

AI in Radiology

Designed a platform to assist radiologists in detecting anomalies in medical images such as X-rays, CT scans, and MRIs using advanced deep learning techniques. The project ensured data privacy and HIPAA compliance.

Key Features:
  • Used **DenseNet and CNN models** for accurate anomaly detection.
  • Implemented **explainable AI (XAI)** to provide interpretable diagnostic insights for medical practitioners.
  • Achieved over **95% accuracy** in detecting abnormalities such as tumors and fractures.
  • Optimized image processing pipelines to reduce scan analysis time by 30%.
Technologies Used: Python,PytorchVision, XrayTorchVision, TensorFlow, Keras, OpenCV, CNN, DenseNet, AWS S3.

AI Sign Language Detection

Developed a real-time sign language detection system to bridge the communication gap for individuals with hearing disabilities. This system translates hand gestures into text and speech using computer vision and deep learning.

Key Features:
  • Leveraged **OpenCV and Mediapipe** to capture and process hand gestures in real-time.
  • Used **Transfer Learning** with pre-trained models to improve detection accuracy.
  • Enabled text-to-speech translation for better communication.
  • Deployed as a web-based solution, making it accessible for educational and workplace environments.
Technologies Used: Python, TensorFlow, Mediapipe, OpenCV, React.js.

NFC Wallet

Developed a secure and scalable **Progressive Web Application (PWA)** for contactless payments using **NFC authentication**. The wallet offered enhanced user experience and data security.

Key Features:
  • Implemented **Web NFC APIs** for seamless and secure payments.
  • Integrated **JWT Authentication** for secure user logins and transactions.
  • Designed a responsive and user-friendly interface using React.js.
  • Deployed scalable backend services to handle real-time transaction processing.
Technologies Used: React.js, Node.js, MongoDB, Web NFC APIs, Express.js, MongoDB, PWA, Fugu.
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