Suvrat Jain Email & Phone Number
Who is Suvrat Jain? Overview
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Suvrat Jain is listed as AI and ML Engineer at DieselCore, a with 22 employees, based in Rochester, New York, United States. AeroLeads shows a matched LinkedIn profile for Suvrat Jain.
Suvrat Jain previously worked as Data Science and AI Engineer at Dieselcore and Data Science Engineer at Rochester Institute Of Technology. Suvrat Jain holds Master Of Science - Ms, Data Science from Rochester Institute Of Technology.
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About Suvrat Jain
👨🏻💻 Hello, I’m Suvrat and I like to solve problems using data!⚒ At DieselCore, I leverage advanced machine learning and AI technologies to create impactful solutions that enhance both technological capabilities and business processes.🏫 My previous role in Machine Learning and Computer Vision Engineering at the Rochester Institute of Technology (RIT) involved developing object detection and recognition systems, where I honed my skills in deploying AI systems using OpenCV, Python, PyTorch, and TensorFlow. This experience solidified my foundation in machine learning and deep learning, significantly impacting decision-making and industry practices.📊 I attained my Bachelor of Technology majoring in Electronics & Communication Engineering back in 2019. Through my working experiences in the Software & Marketing industries, I found myself naturally inclined towards data science through my passion for data-driven storytelling and statistics. I am fascinated by data, how it interacts and the behavior it represents and data analysis is a way to identify patterns, detect key problems among outliers and tell a valuable story to make a significant impact. That’s why in 2021, I decided to give in and made the switch to data science!📚 To stay at the forefront of data science and continue my professional growth, I successfully completed the Master of Science in Data Science (M.Sc.) from the renowned Rochester Institute of Technology in New York. Throughout my studies, I honed my expertise in statistical analysis, computer programming, and cutting-edge technologies such as Computer Vision and deep learning modeling techniques. Furthermore, I gained hands-on experience in building and implementing highly accurate machine learning models, while effectively handling and processing large-scale datasets in a supercomputing environment.✨ My technical toolkit includes Python for data cleaning, analysis, visualization, and machine learning. I also bring experience in web development, creating user-friendly, responsive websites with HTML5, CSS3, Bootstrap, and WordPress, along with proficiency in AngularJS and CMS platforms. My blend of skills across data science and web technologies enables me to offer comprehensive solutions that bridge the gap between complex data and practical applications.✍🏻 I write about computer vision, data science, machine learning, tech, startups, and anything that stirs my mind.💻 Find more about me here: https://www.simplysuvi.github.io/
Listed skills include Html5, Cascading Style Sheets, Wordpress, Bootstrap, and 9 others.
Suvrat Jain's current company
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Suvrat Jain work experience
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Data Science And Ai Engineer
Current- Leading the deployment of custom conversational agents integrated with Large Language Models (LLMs) using Llamaindex and Langchain frameworks, aiming to enhance response accuracy for support queries by ~30%.- Integration of OpenAI and Azure Cloud services to streamline LLM deployment processes, to reduce model deployment time by 40% and ensure seamless scalability across multiple use cases.- Engineered scalable RAG pipelines integrating FAISS, Llama 3.1 models, and Sentence Transformers, indexing 70K+ embeddings with scalability for millions, improving query processing by ~40%.- Designed and deployed FAISS IVFPQ index with a 50% memory reduction, supporting high-speed approximate search with clusters, achieving ~95% retrieval accuracy.- Design and implementation of image processing pipelines using YOLO and Vision Transformers, to reduce inventory identification errors by 25% and accelerate warehouse workflow.- Utilize PyTorch to train and fine-tune custom computer vision models, for a 35% improvement in object detection accuracy and a 20% reduction in processing time.- Collaborated with cross-functional teams to integrate LLMs and computer vision solutions into existing warehouse management systems, to achieve a 15% increase in overall system productivity.
Data Science Engineer
Working as a Data Science Engineer at Golisano Institute for Sustainability, I:- Led the development of a vision system integrating YOLOv8 and UNet segmentation models to achieve precise clothing dismantling and optimize downstream processes.- Leveraged PyTorch and Scikit-learn to build scalable image classification pipelines using TensorFlow. Implemented distributed training across multiple instances for improved efficiency.- Implemented advanced data augmentation techniques, resulting in a 10% improvement in IoU score for the semantic segmentation model, showcasing expertise in enhancing data quality and accuracy.- Developed and built ETL and data augmentation pipelines, to expand dataset by 30% and achieve a 12% lift in model accuracy due to improved generalization.- Implemented efficient CUDA kernels for GPU acceleration, demonstrating proficiency in deep learning frameworks and performance optimization.- Deployed a vision system prototype, configuring industrial grade cameras and lighting and establishing TCP/IP network communication for seamless integration with a control system.- Enhanced the performance of the semantic segmentation model by incorporating data augmentation techniques, resulting in a 10% improvement in IoU score.- Utilized neural network gradients to quantify feature relevance in image classification and object detection algorithms, revealing insights into model interpretability and guiding feature selection for enhanced performance.
Machine Learning Engineer
- Developed performant CNN models for automobile part categorization (98.2% on 10k+ images, using OpenCV). Demonstrated expertise in techniques with broad AI applications, including image processing and transfer learning.- Boosted automobile part classification accuracy by 73% by fine-tuning an Inception v3 model (TensorFlow), demonstrating skill in transfer learning for rapid solution development.- Implemented a Siamese Network for similarity learning, combining distance metrics and statistical analysis techniques. Achieved 98% accuracy on out-of-training data, significantly improving model generalization.- Developed a multi-stage ETL pipeline for object detection/classification for a sustainable remanufacturing vision system, reducing manual inspection time by 30% and boosting object classification accuracy by 10%.- Enhanced ML pipeline efficiency through targeted research and experimentation (A/B testing, Bayesian optimization). Built clear data visualizations (Tableau, Power BI) to convey model behavior and drive improvements, presented to senior leadership.
Email Developer And Marketer
Merkle is a leading data-driven, technology-enabled, global performance marketing agency that specializes in the delivery of unique, personalized customer experiences across platforms & devices.With ~12,000 employees, Merkle is headquartered in Columbia, Maryland, with 50+ additional offices throughout the Americas, EMEA, and APAC regions. Merkle is a Dentsu Aegis Network company.Working as the Email Developer, I:• Created visually engaging and responsive HTML email campaigns utilizing Adobe Dreamweaver, ensuring compatibility across email clients through implementation of clean and standards-compliant code.• Crafted and executed successful HTML email campaigns, ensuring seamless compatibility and optimal display across multiple email clients, browsers, and mobile devices through rigorous testing and troubleshooting.• Efficiently identified and resolved cross-browser compatibility issues in HTML email campaigns through thorough QA testing and debugging, using tools such as Litmus, resulting in optimal performance across multiple email clients, browsers and mobile devices.• Delivered hyper-personalized email campaigns using journey builders, resulting in increased engagement and open rates by 20%.• Improved open rates and click-through rates by 20% by leveraging data-driven personalization in email campaigns targeting specific regions and markets.Brands worked on: Estée Lauder Cosmetics (UK & EMEA markets), Boots UK.
Qa Engineer
Merkle Sokrati is India’s leading Digital Ad Technology, paid search & Big Data Analytics firm, with proprietary algorithms, artificial intelligence, and automation at its backbone.Working as a QA Associate & Tester, I:• Developed comprehensive software documentation, including software requirements specification, detail design document, acceptance test cases, integration test cases, and unit test cases, ensuring thorough testing and quality control of all deliverables.• Successfully executed cross-browser compatibility tests using Selenium WebDriver on Google Chrome, Firefox, and Safari, ensuring seamless user experience on diverse platforms.Contributed to daily team meetings and proactively prepared reports to drive team progress and deliverables, as required by team lead.• Conducted regression testing throughout the development life cycle to ensure seamless functioning of impacted existing features and identify any potential bugs, proactively collaborating with development teams to resolve any issues.• Implemented Agile methodology, contributing to daily stand-up meetings and utilizing JIRA for effective issue/bug tracking to ensure seamless project delivery in a dynamic and fast-paced environment.• Collaborated with cross-functional teams to develop comprehensive test plans, design and execute test cases, and ensure thorough coverage of critical scenarios, all within an Agile (SCRUM) environment utilizing JIRA for issue tracking.• Collaborated with cross-functional teams to provide comprehensive and effective testing solutions, combining expertise in requirements analysis, test planning and strategy, resulting in successful delivery of client projects.• Crafted and executed test cases for multiple modules of a complex application project, ensuring thorough coverage and high quality outcomes.• Performed Manual Testing – Smoke, Functional, Integration, Regression, Database, UI, Out of Box & User Acceptance Testing (UAT).
Bms Estimation Engineer
• Prepared preliminary cost estimates of projects that are in conceptual stage.• Analyzed various project related documents & reported to supervisor.• Prepared IO summary for BMS systems for projects as per given specifications by client.
Software And Web Developer
• Component design in Angular JS framework for various clients• Debugged & developed new layouts for websites, according to client requirements• Technologies used: Angular JS, Node JS, HTML, CSS, JavaScript, jQuery, PHP, Material Bootstrap Design.
Software Developer
• Designed responsive web pages for client's websites within the given deadlines.• Worked closely with back end web developers to create attractive websites.• Worked on WordPress CMS. Web technologies used: HTML, CSS, JavaScript, Bootstrap framework, PHP.
Colleagues at DieselCore
Other employees you can reach at dieselcore.com. View company contacts for 22 employees →
Jose Medina
Colleague at DieselcoreGreater Houston, United States
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Gib Goodrich
Colleague at DieselcoreKaty, Texas, United States
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Tyler Rodgers
Colleague at DieselcoreReno, Nevada, United States
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Robert Riette
Colleague at DieselcoreGreater Houston, United States
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Joe Vincent
Colleague at DieselcoreKaty, Texas, United States
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Jimmy Mcnew
Colleague at DieselcoreGladewater, Texas, United States
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Mike Bone
Colleague at DieselcoreKaty, Texas, United States
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Brad Moss
Colleague at DieselcoreOronogo, Missouri, United States
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Todd Jeffrey
Colleague at DieselcoreWinnipeg, Manitoba, Canada
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Angela S.
Colleague at DieselcoreRichmond, Texas, United States
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Suvrat Jain education
Master Of Science - Ms, Data Science
Bachelor Of Technology - Btech, Electronics & Communications Engineering
Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering
Frequently asked questions about Suvrat Jain
Quick answers generated from the profile data available on this page.
What company does Suvrat Jain work for?
Suvrat Jain works for DieselCore.
What is Suvrat Jain's role at DieselCore?
Suvrat Jain is listed as AI and ML Engineer at DieselCore.
Where is Suvrat Jain based?
Suvrat Jain is based in Rochester, New York, United States while working with DieselCore.
What companies has Suvrat Jain worked for?
Suvrat Jain has worked for Dieselcore, Rochester Institute Of Technology, Merkle, Merkle Sokrati, and Ods Global Dmcc.
Who are Suvrat Jain's colleagues at DieselCore?
Suvrat Jain's colleagues at DieselCore include Jose Medina, Gib Goodrich, Tyler Rodgers, Robert Riette, and Joe Vincent.
How can I contact Suvrat Jain?
You can use AeroLeads to view verified contact signals for Suvrat Jain at DieselCore, including work email, phone, and LinkedIn data when available.
What schools did Suvrat Jain attend?
Suvrat Jain holds Master Of Science - Ms, Data Science from Rochester Institute Of Technology.
What skills is Suvrat Jain known for?
Suvrat Jain is listed with skills including Html5, Cascading Style Sheets, Wordpress, Bootstrap, Front End Development, Web Development, Sublime Text, and C++.
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