Dec 2023 – Jan 2025 · 1 yr 1 mo

• Working as an ML and MLOps Lead, developing and scaling enterprise-grade CLM software for Fortune 500 companies.
• Architecting and managing the cloud and infrastructure migration across various clouds (AWS, GCP, Azure, OCI and IBM Cloud).
• Deploying scalable self-managed and AWS+GCP managed Kubernetes clusters with high availability of the LLMs and large ML models.
• Designing solutions for zero-scaled clusters and setting up the CI/CD processes across the product for AI services.
• Leading the MLOps team to focus on reducing tech debt and making release processes smoother for engineering teams and clients.
• Working with all A-grade GPU stacks (H100, A100, A10) available across the globe to support the optimal performance of LLMs.

Apr 2023 – Dec 2023 · 8 mos

• Designing and implementing robust and highly scalable machine learning microservices for Axion (SaaS Product).
• Executing proofs-of-concept (POCs) using Large Language Models (LLM) for the upcoming ML use cases in the product.
• Actively contributing to the migration and enhancement of our on-premises solutions to the cloud-based SaaS environment.
• Ensuring the smooth operation and continuous improvement of the product infrastructure by maintaining and enhancing the CI/CD pipelines, ensuring optimal availability and performance.

Aug 2021 – Mar 2023 · 1 yr 7 mos

• Working with the AI and product team to build and productionize NLP and Machine Learning based products.
• Solving the use cases in the GRC domain with optimized AI and Machine Learning driven solutions.
• Building centralized AI product ”AXION” to integrate with enterprise applications like IBM OpenPages.

Dec 2020 – Dec 2023 · 3 yrs

• Data Drivers is a purpose-driven, not-for-profit community led by Mohit Kumar and Saksham Jain, built to democratize access to AI and Data Science education. Our mission is simple yet powerful: to provide completely free, top-tier mentorship and learning resources to students, freshers, and professionals who are ready to launch or pivot their careers into the world of data. 🚀
• As we navigate an era where over 2.5 quintillion bytes of data are produced daily, the ability to understand, interpret, and communicate insights from data is no longer optional - it's essential. Data Drivers exists to bridge that gap, nurturing the next generation of data thinkers by sharpening their data storytelling abilities and cultivating a mindset geared toward evidence-based decision-making.
• We're not just teaching data - we're shaping the people who will drive its future.
• Join us at: https://t.me/joinchat/U7-Kkuu0XbyoRwhA !

Dec 2020 – Jul 2021 · 7 mos

• Redesigned and modernized the user’s apparel shopping experience using Deep Learning and Computer Vision.
• Led the team of 5 developers and launched the ”Sizing” which accurately returns the body measurements.
• Worked on ”Ettire” that assists a user to view their virtual version (3D-based) draped in different clothes.
• Contributed to deployment & scalability of ”Sizing” and other products for 100000 users footfall every day.
• Frameworks, Toolkits, and Library used: TensorFlow, PyTorch, OpenCV, MxNet, GluonCV, U2NET, YOLO (All Versions), AWS, and Flask.

Aug 2020 – Dec 2020 · 4 mos

• Developed automated safe and smart transportation systems that facilitate seamless traffic operation.
• Launched and worked on Video Incident Detection System (VIDS) to detect report highway and toll incidents.
• Development tech stack included Flask, Computer Vision, Tracking Algorithms, and Machine Learning Python.
• Contributed to Automatic Number Plate Recognition (ANPR) and PPE Kit detection projects.

Jun 2019 – Aug 2019 · 2 mos · Delhi

• Hands-on experience in Machine Learning: Completed a stock price predictor model and worked on data categorization and clustering.
• Knowledge of ML libraries: Learned to use Numpy, Pandas, Matplotlib, and SkicitLearn libraries and applied them to improve the accuracy of models.
• Proficiency in Neural Networks: Experienced in implementing Neural Networks including Artificial Neural Networks and honed mathematical skills.
• Image Super-Resolution project: Worked on an Image Super-Resolution project using Convolution Neural Networks and Quality Metrics, and learned Tensorflow and Keras libraries.

May 2018 – Jul 2018 · 2 mos · New Delhi Area, India

• Experienced in working with AVR microcontroller and IoT for multiple projects.
• Built an Android-controlled pick and place robot with IoT under the guidance of Mr. Rohit.
• Participated in TECHNOXIAN’18 International Robotics League for Drone Racing and qualified for semi-finals.
• Presented a home automation and security project at a college tech fest during training at Aedifico Tech Private Limited.