Ankur Singh Email and Phone Number
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Currently pursuing a Master's in Software Engineering at SJSU, expecting to graduate in May 2024. Concurrently, I work part-time at Intel as an AI Solutions Engineer. Prior to joining Intel in May 2023, I spent a year as a research assistant under Dr. Wu and Dr. Liu at SJSU Research Foundation, focusing on Federated Learning, Traffic Flow Prediction, and edge deployment.With 4 years of prior professional experience in AI/ML, Software Engineering, DevOps, Cloud, and Databases, I embarked on my journey by founding AI Adventures, a startup providing AI/ML solutions. Later, as an ML Team Lead at Zoop.one, I orchestrated the successful launch of four ML services, housing 20+ deep learning models, handling over 2M+ requests/month. My approach, grounded in first principles, emphasized improving developer experience through process building, establishing best practices, and setting up efficient ML infrastructure, leading to rapid prototyping and significantly reduced Time To Market (TTM).Beyond my professional endeavors, I am an avid reader and actively participate in competitions, winning multiple Kaggle competitions and hackathons. I've contributed to several open-source projects and created two Python packages: colab-everything and torchserve-python, aiming to give back to the community. I aspire to give a talk at a Python Conference someday.
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Ai Code Samples EngineerIntel Corporation Jul 2024 - PresentSan Jose, California, United States -
Ai Solutions EngineerIntel Corporation May 2023 - May 2024San Jose, California, United StatesUndertook 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. -
Research AssistantSan Jose State University Sep 2022 - May 2023San Jose, California, United StatesIn 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. -
Ml Team LeadZoop.One Sep 2021 - Aug 2022Pune, Maharashtra, IndiaDuring 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. -
Co-Founder & CeoAiadventures Jun 2018 - Sep 2021Pune Area, IndiaLed 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. -
Web-Team HeadCollege Of Engineering Pune Jan 2017 - May 2018Pune Area, IndiaAs 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. -
Summer InternCredit Suisse May 2017 - Jul 2017Pune Area, IndiaI 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.
Ankur Singh Skills
Ankur Singh Education Details
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7.76 Cgpa -
Sri Chaitanya Junior College94.7%
Frequently Asked Questions about Ankur Singh
What company does Ankur Singh work for?
Ankur Singh works for Intel Corporation
What is Ankur Singh's role at the current company?
Ankur Singh's current role is AI Engineer @ Intel | Python, GenAI, LLMOps.
What is Ankur Singh's email address?
Ankur Singh's email address is an****@****jsu.edu
What schools did Ankur Singh attend?
Ankur Singh attended San Jose State University, College Of Engineering Pune, Sri Chaitanya Junior College.
What skills is Ankur Singh known for?
Ankur Singh has skills like Leadership, Core Java, Team Building, Data Analysis, Tensorflow, Keras, Web Development, Deep Learning, Internet Of Things, C (Programming Language, Artificial Intelligence, Microsoft Office.
Who are Ankur Singh's colleagues?
Ankur Singh's colleagues are Hector Vivanco, Kriti Agarwal, Cheng Li, Nadeen Paradis, Mohammad Kabir, Helena Burke, Fu Song Zhong.
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