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sahil _utekar

@sahilutekar

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AI Researcher specializing in deep learning and computer vision.

India

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What I'm looking for

I seek a dynamic role in AI where I can innovate and lead impactful projects.

As an accomplished AI Researcher, I have a proven track record of leading teams to deliver innovative solutions in artificial intelligence and machine learning. My experience spans across various domains, including deep learning, computer vision, and natural language processing, where I have successfully managed projects that enhance operational efficiency and user satisfaction.

At DNW, I spearheaded the development of Retrieval-Augmented Generation (RAG) systems, significantly improving contextual accuracy through refined retrieval processes. My tenure at Senquire Analytics allowed me to optimize deep learning models, achieving a 15% reduction in project delivery time and a 30% increase in client satisfaction. I am passionate about mentoring junior team members and fostering a collaborative environment that drives knowledge sharing and project success.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Researcher

DNW

Apr 2024 - Jun 2024 (2 months)

Managed a team to deliver AI projects, focusing on Retrieval-Augmented Generation systems. Improved performance and relevance of models, enhancing user satisfaction. Designed deep learning and computer vision models for various applications.

Deep Learning Computer Vision OpenCV PyTorch Team Management

Data Scientist

Senquire Analytics

May 2022 - Jan 2024 (1 year 8 months)

Led a delivery team to develop deep learning algorithms, improving project delivery time and client satisfaction. Collaborated across teams to integrate models into existing systems and provided mentorship to junior members.

Deep Learning Image Processing Data Analysis Team Leadership Object Detection Neural Networks

AI/ML Engineer

Automotive Robotics India (ARi)

Dec 2021 - May 2022 (5 months)

Collaborated on developing Computer Vision and NLP models, enhancing sentiment analysis accuracy. Created an innovative resume ranking tool, significantly improving matching accuracy.

Computer Vision NLP Image Processing Developer Tooling Named Entity Recognition Team Collaboration

AI/ML Engineer Intern

Indian Institute of Technology Kanpur

Apr 2020 - Jul 2020 (3 months)

Conducted an NLP project on Twitter Sentiment Analysis, applying advanced text processing techniques. Gained hands-on experience in machine learning under expert mentorship.

Natural Language Processing Text Machine Learning Analytical Skills Mentorship Research Technical Skills

Education

Degrees, certifications, and relevant coursework

Senquire Analytics

Data Scientist, Data Science

2022 - 2024

Activities and societies: Conducted data analysis and provided actionable insights to clients, resulting in a 30% increase in client satisfaction.

Delivered high-quality projects and products, based on business requirements, by leading a delivery team for multiple projects. Developed and implemented cutting-edge deep learning and image processing algorithms to optimize projects.

Automotive Robotics India

AI/ML Engineer, Artificial Intelligence

2021 - 2022

Activities and societies: Developed the SMART RESUME RANKER, an innovative tool that matches resumes to job listings based on experience and skills.

Collaborated with the development team to build Computer Vision models, and NLP models, and apply advanced Image Processing techniques. Improved the accuracy and efficiency of the sentiment analysis algorithm by 20%.

Indian Institute of Technology Kanpur

Research Internship, Natural Language Processing

2020 - 2020

Activities and societies: Gained hands-on experience in NLP and machine learning, developing a deeper understanding of their applications in analytics.

Conducted a Natural Language Processing (NLP) project focused on Twitter Sentiment Analysis to classify tweets as positive, negative, or neutral. Applied advanced text processing techniques to handle large volumes of data effectively, ensuring accurate sentiment classification.