Hi, I'm Amit Kalal
AI Researcher and Developer
I specialize in developing predictive models, implementing ML solutions, and creating data-driven insights to solve complex problems in the sports technology domain.
Professional Experience
SportsForAll, Mumbai
Sep 2024 – Present
- Developed predictive models for sports video labeling, customer behavior prediction, and participation forecasting
- Design and Deployed ML Solution on AWS(SageMaker, Lambda) with CI/CD workflow
- Contributed to Django Game Management System and integrated ML Features
- Collaborated across engineering and product teams to operationalize ML workflows
HUDL, Mumbai
May 2024 – Jul 2024
- Worked with Hudl's proprietary software to analyze game footage, identify key performance metrics, and generate actionable insights for coaching staff and players
- Delivered detailed reports and recommendations to enhance strategy and decision-making, contributing to the improvement of overall team performance
SportsForAll, Mumbai
Nov 2023 – Mar 2024
- Performed exploratory data analysis on 100k+ participant data for marketing and strategic solutions
- Created interactive dashboards to support business using python libraries
Prodigy Infotech, Mumbai
Aug 2023 – Oct 2023
- Conducted exploratory data analysis to identify trends, outliers, and insights to support model development
- Created visual dashboards using matplotlib and seaborn to communicate results and model performance to non-technical stakeholders
B.Sc. in Information Technology
University of Mumbai, Mumbai
09/2020 – 07/2023
- Ranked Top 1 in IT Batch (2020-2023)
- GPA: 9.35 (A+), Degree with Honors
Featured Projects
Exploring the intersection of artificial intelligence and practical applications through innovative solutions.
02/2025 – Present
AI Fashion Semantic Search Engine
AI-Powered Search Engine
Built a Retrieval-Augmented Generation (RAG) system for semantic document search using FAISS vector database and LLM integration. The system enables natural language querying of Fashion the BLIP Models Generates the captions and the FAISS vector database is used to store the embeddings of the captions.
Azure Databricks & Spark For Data Engineers
03/2024
Comprehensive understanding of Azure services
Machine Learning Bootcamp
09/2023
Demonstrated ability to build, train, tune and deploy ML models
100 Days of Python by Angela Yu
05/2022
Learned to build and deploy Web apps & Python Script using Python
Technical Skills
A comprehensive overview of my technical skills and proficiencies across various domains including programming, data analysis, and machine learning.
Programming Languages
Development Tools
Databases
Cloud Services
Version Control
Data Analysis
Machine Learning
Containerization
AI & NLP
Learning & Exploration
Sharing insights and experiences from my journey in AI research and development. These articles document my learning process and technical implementations.
Get In Touch
Feel free to reach out if you're looking for a developer, have a question, or just want to connect.