Ajeet Kumar
Verified Expert in Engineering
Pandas Developer
Bengaluru, Karnataka, India
Toptal member since August 4, 2025
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
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
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.
Senior Data Scientist
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.
Experience
AI-driven Systems
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
Bachelor's Degree in Information Technology
Rajasthan Technical University - Kota, Rajasthan, India
Certifications
Data Science Nanodegree
Udacity
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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