Ankur Singh

Ankur Singh

Web-team Head

Followers of Ankur Singh3000 followers
location of Ankur SinghSan Jose, California, United States

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  • Timeline

  • About me

    AI Engineer @ Intel | Python, GenAI, LLMOps

  • Education

    • Sri Chaitanya Junior College

      -
      HSC Science 94.7%
    • San Jose State University

      2022 - 2024
      Master's degree Computer Software Engineering 3.85
    • College of Engineering Pune

      -
      Bachelor of Engineering - BE Information Technology 7.76 CGPA
  • Experience

    • College of Engineering Pune

      Jan 2017 - May 2018
      Web-team Head

      As the Web Team Head for the College of Engineering Pune (COEP), I took on the dual responsibility of overseeing both the front-end and back-end aspects of the college website, along with managing 40+ other websites hosted on the college server. This role demanded a formal and comprehensive approach to ensure seamless website operations.My responsibilities included server configuration, database management, content management system (CMS) administration, and ensuring the overall security and integrity of the website's backend systems. Utilizing the latest tools, technologies, firewalls, and watchdogs, I aimed to maintain a high level of performance, reliability, and data protection for the college website and its associated web properties. Show less

    • Credit Suisse

      May 2017 - Jul 2017
      Summer Intern

      I worked as a web developer, tasked with constructing REST APIs to facilitate the seamless sending and receiving of client orders within existing systems. Additionally, I designed and implemented a web front-end for the same.

    • Aiadventures

      Jun 2018 - Sept 2021
      Co-Founder & CEO

      Led client project development:As a team leader, I played a pivotal role in guiding the development of client projects, overseeing the entire project lifecycle from initial requirements gathering to final delivery. Collaborating closely with clients, I understood their objectives, formulated effective strategies, and coordinated the development team's efforts to ensure successful project execution.Developed 5 distinct courses:Initiating the creation of five comprehensive courses, I aimed to impart knowledge and expertise across various domains. These courses covered Python programming, Data Science, Machine Learning, Computer Vision, and Machine Learning. Each course was meticulously designed to provide comprehensive and structured learning experiences.Contributed to establishing AI clubs in various Pune colleges:Recognizing the importance of nurturing a vibrant AI community, I played an instrumental role in founding AI clubs across multiple colleges in Pune city. These clubs served as platforms for students to explore and engage with Artificial Intelligence. Collaborating with college administrators, faculty, and students, I provided guidance, resources, and mentorship to promote learning and innovation. Through regular workshops, seminars, and interactive sessions, these clubs created opportunities for students to deepen their understanding of AI, exchange ideas, and undertake practical projects. Show less

    • ZOOP.ONE

      Sept 2021 - Aug 2022
      ML Team Lead

      During my tenure at Zoop.One, I led the development of key machine learning (ML) services, including the OCR Service, Document Scanner, and Liveliness Service, significantly enhancing the functionality and performance of numerous products within the Zoop.One ecosystem.My role not only involved overseeing the development of these ML services but also assembling and leading an exceptional team of professionals. Through strategic leadership and effective management, I successfully guided the team to launch four ML services within a remarkably short span of ten months. Establishing an agile and high-performing team required implementing streamlined processes, establishing best practices, and providing comprehensive training in cutting-edge technologies.Additionally, I actively pursued the identification of novel ML/AI applications to contribute to the overall improvement and advancement of the business. I self-hosted and managed five services in-house, staying at the forefront of emerging technologies and trends. This allowed me to leverage ML/AI methodologies to drive innovation, optimize operational processes, and generate valuable insights, ultimately bolstering the organization's ML performance.Technology Used: PyTorch, TensorFlow, FastAPI, MongoDB, Redis, Docker, GCP, MLFlow, LabelStudio, CVAT, Voxel51, Streamlit, Gradio. Show less

    • San Jose State University

      Sept 2022 - May 2023
      Research Assistant

      In my role, I handled a spectrum of sophisticated tasks focused on deploying detection and segmentation models on edge devices. This involved exporting models to various formats, optimizing them through quantization, pruning, etc., benchmarking, and deploying cutting-edge models on various runtimes to ensure the highest possible performance. I conducted the setup and rigorous benchmarking of inference engines like Torch Serve, NVIDIA Triton, OpenVINO, and ONNX.Additionally, I delved into comprehensive scholarly research in the domain of Federated Learning. This encompassed a meticulous examination and implementation of research papers, providing a deeper understanding of the principles and techniques in this emerging field. We developed innovative strategies to enhance Knowledge Distillation performance and Federated Learning, particularly focusing on regression problems.Technologies used: YOLOv8, Docker, PyTorch, OpenVINO, ONNX, ROS2 Humble, Ray. Show less

    • Intel Corporation

      May 2023 - May 2024
      AI Solutions Engineer

      Undertook diverse projects, including the implementation of code samples featuring state-of-the-art techniques like QLoRA, RAG, and INT4/8 inference on Intel hardware. Furthermore, developed end-to-end workflows, encompassing distributed training and fine-tuning of Large Language Models (LLMs) on CPU.Technologies used: PyTorch, AI Toolkit, HuggingFace, Transformers, Datasets, Accelerate, Kubernetes, Kubeflow, and AWS.

    • Intel Corporation

      Jul 2024 - now
      AI Code Samples Engineer
  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Ankur Singh
      Grand Prize Winner at Intel Innovation 2022 Intel Sep 2022 Intel hosted a hackathon called "AI for Social Good" in their annual event Innovation. The hackathon had 3 tracks (ML, CV and NLP). We won the first price in CV track and our solution was also selected for the Grand Prize (best in all 3 tracks). Grand Prize winners also got a change to meet Greg Lavender (Intel CTO) in person.