Nishchay Chawla
Indore
Summary
Experienced Data Science & Machine Learning professional (5+ years) with a proven ability to lead cross-functional teams (up to 12 members). Strong skills in NLP, Computer Vision and MLOps, with a focus on leveraging advanced technologies like Generative AI to achieve business goals.
Overview
7
7
years of professional experience
Work History
Technical Lead - Machine Learning
47Billion
06.2019 - Current
- Worked on PDFs and built a comprehensive Document AI system utilizing NLP and computer vision for signature, stamp, table recognition, and EHR analysis, significantly improving document processing efficiency and enhancing operational workflows.
- Led diverse projects, including multi-modal analysis of satellite and drone imagery for landmark identification, keypoint extraction for pose recognition, and RPA workflows using Power Apps to streamline processes
- Leveraged MLOps techniques to track experiments and serve ML models at scale
- Developed chatbots and custom agents using LlamaIndex, LangChain, and AutoGen, with key R&D efforts leading to an assisted learning platform for automated content generation and personalized learning experiences
- Actively participated in hiring and contributed to establishing a Center of Excellence at Medicaps university to promote collaboration and research
Senior Researcher
Attentio Research Center
06.2017 - 07.2017
- Collected and systematized data from 15-17 hydropower plants daily, integrating insights from 20-25 relevant news articles to enhance context and analysis
- Used advanced Google search methods to perform secondary research of data present in different languages
Education
Advanced Certification - Software Engineering
IIT Madras, Great Learning
Online01.2024
Certification - Data Science
Jigsaw Academy
Online01.2019
Data Analysis Nandodegree -
Udacity
Online01.2018
B.Tech - Power System Engineering
UPES
Dehradun01.2017
Skills
- Machine Learning
- NLP
- Computer Vision
- Generative AI
- Data Visualization
- PyTorch
- TensorFlow
- OpenCV
- MLFlow
- Docker
- Kubernetes
- FastAPI
- AWS
- SQL
- Experiment Tracking
- Model Serving
Publications
Bear Biometrics: Developing an Individual Recognition Technique for Sloth Bears, Wildlife Research Journal, https://lnkd.in/duQPhkRB, Co-authored a paper on using an image-comparison algorithm and deep learning models (EfficientNet) to identify individual sloth bears based on chest markings. Achieved 98% accuracy in differentiating unique patterns and validated over 95% for individual predictions.
Timeline
Technical Lead - Machine Learning
47Billion
06.2019 - Current
Senior Researcher
Attentio Research Center
06.2017 - 07.2017
Advanced Certification - Software Engineering
IIT Madras, Great Learning
Certification - Data Science
Jigsaw Academy
Data Analysis Nandodegree -
Udacity
B.Tech - Power System Engineering
UPES
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