Ajeet Kumar, Developer in Bengaluru, Karnataka, India
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Ajeet Kumar

Bio

Ajeet has 5+ years of experience in data analytics, machine learning, deep learning, data pipelines, and generative artificial intelligence (GenAI). He's worked at Sony India Software Center, delivering AI solutions like video understanding, motion analysis, and sports highlight generation, improving processing time by 30% and accuracy by 15-20%. Ajeet has a strong background in mentoring teams and aligning AI innovation with business goals.

Portfolio

SONY
Python, SQL, Data Analysis, Database Analytics, Statistical Analysis...
HTC
Machine Learning, Deep Learning, TensorFlow, MoveNet, Docker, Kubernetes...

Experience

  • Pandas - 7 years
  • Python - 7 years
  • Data Science - 7 years
  • SQL - 7 years
  • Statistics - 6 years
  • Machine Learning - 6 years
  • Deep Learning - 4 years
  • Large Language Models (LLMs) - 2 years

Preferred Environment

Visual Studio Code (VS Code), PyCharm, Anaconda, Linux, GPU Computing, Windows, MacOS, JSON, Databases, Microsoft SQL Server, Microsoft Access

The most amazing...

...human motion search system I've created with TensorFlow and MoveNet detects poses, extracts features and stores them, and matches inputs for accurate analysis.

Work Experience

Lead Data Scientist

2022 - 2025
SONY
  • Developed a human motion search system using TensorFlow and MoveNet to detect poses, extract features, store them, and match inputs for accurate analysis.
  • Built a match highlight generation system that analyzes sports videos, detects key events, and auto-generates highlights for quick viewing.
  • Created a text localization system that detects and localizes text regions in video end credits for automated processing and analysis.
Technologies: Python, SQL, Data Analysis, Database Analytics, Statistical Analysis, Statistical Modeling, Machine Learning, Deep Learning, Computer Vision, PyTorch, Natural Language Processing (NLP), Voice Cloning, Image Generation, Artificial Intelligence (AI), AWS IoT, Google Cloud Platform (GCP), Apache Airflow, Visual Studio Code (VS Code), Data Analytics, Pandas, Git, Model Deployment, OpenCV, Bash Script, Data Science, Data Modeling, Large Language Models (LLMs), GitHub, AI Prompts, Prompt Engineering, Data Scraping, PostgreSQL, Google Cloud Storage, Database Design, ChatGPT, BigQuery, Google BigQuery, Cloud, Data Visualization, SDXL, Flux, LoRa, Qlora, model finetune, Matplotlib, NumPy, Microsoft Excel, RStudio, FastAPI, JSON, Time Series, Databases, Microsoft SQL Server, Microsoft Access, Predictive Modeling, Predictive Analytics, Analytics, Microsoft PowerPoint, LangChain, MacOS, PyCharm, Anaconda, GPU Computing, Windows, Machine Learning Operations (MLOps), Amazon Web Services (AWS), Azure

Senior Data Scientist

2020 - 2022
HTC
  • Developed a genomic prediction system using ML pipelines to forecast yields and traits, boosting accuracy by 20% across regions.
  • Created a crop disease detection system using deep learning on leaf images with region-specific pipelines aligned to harvest schedules.
  • Built a precision agriculture system using ML and satellite data for crop health and yields, deploying models via Docker and Kubernetes.
Technologies: Machine Learning, Deep Learning, TensorFlow, MoveNet, Docker, Kubernetes, Apache Airflow, Visual Studio Code (VS Code), Data Analytics, Computer Vision, AWS IoT, Pandas, Git, Model Deployment, OpenCV, Bash Script, Data Engineering, Data Science, Data Modeling, Large Language Models (LLMs), GitHub, Data Scraping, PostgreSQL, Google Cloud Storage, Google Cloud Platform (GCP), Database Design, BigQuery, Google BigQuery, Cloud, Data Visualization, Matplotlib, NumPy, Python, Java, R, Microsoft Excel, RStudio Shiny, RStudio, Dashboards, FastAPI, JSON, Time Series, Databases, Microsoft SQL Server, Microsoft Access, Predictive Modeling, Predictive Analytics, Analytics, Microsoft PowerPoint, LangChain, MacOS, PyCharm, Anaconda, GPU Computing, Windows, Machine Learning Operations (MLOps), Amazon Web Services (AWS), Azure

Experience

AI-driven Systems

I've developed various AI-driven systems focused on video understanding and analysis. This included a human motion search and analysis system that leveraged TensorFlow and MoveNet to detect and analyze human poses from images and videos, extract pose features, store them in a database, and perform similarity matching for accurate comparisons.

I also built a basketball match highlight generation system that processes sports footage, detects key events such as shots, goals, and celebrations, and automatically generates concise highlights to enhance user engagement and viewing efficiency. Additionally, I created an end-credit text localization solution that detects and localizes text regions in video end credits for automated indexing, processing, and analysis.

These solutions leveraged deep learning techniques for computer vision, feature extraction, and event detection, improving efficiency and accuracy for media and video analytics pipelines across industries.

Education

2014 - 2018

Bachelor's Degree in Information Technology

Rajasthan Technical University - Kota, Rajasthan, India

Certifications

JUNE 2020 - PRESENT

Data Science Nanodegree

Udacity

MARCH 2020 - PRESENT

IBM Data Science Professional Certificate

IBM

Skills

Libraries/APIs

OpenCV, Pandas, NumPy, PyTorch, TensorFlow, Matplotlib

Tools

GitHub, Git, BigQuery, Microsoft Excel, Microsoft Access, Apache Airflow, AI Prompts, ChatGPT, Microsoft PowerPoint, PyCharm

Languages

Python, SQL, R, Bash Script, Java

Frameworks

RStudio Shiny, Spark, Flux

Paradigms

Object-oriented Programming (OOP), Database Design

Platforms

AWS IoT, Visual Studio Code (VS Code), Docker, RStudio, Amazon Web Services (AWS), Google Cloud Platform (GCP), Linux, Azure, Kubernetes, Anaconda, Windows, MacOS

Storage

Data Pipelines, PostgreSQL, JSON, Databases, Microsoft SQL Server, Google Cloud Storage

Other

Data Science, Data Analysis, Database Analytics, Data Modeling, Statistics, Statistical Modeling, Machine Learning, Deep Learning, Data Engineering, Computer Vision Algorithms, Voice Cloning, Artificial Intelligence (AI), Information Technology, Data Analytics, Data Visualization, Software Engineering, Model Deployment, Feature Engineering, Google BigQuery, model finetune, FastAPI, Time Series, Predictive Modeling, Predictive Analytics, Analytics, Image Generation, Large Language Models (LLMs), R Programming, Object Detection, Computer Vision, Natural Language Processing (NLP), MoveNet, Machine Learning Operations (MLOps), Prompt Engineering, Data Scraping, Cloud, SDXL, LoRa, Qlora, Open-source LLMs, Pose Estimation, Image Segmentation, Semantic Segmentation, Dashboards, LangChain, Statistical Analysis, Cloud Computing, GPU Computing

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