Shaurya Dwivedi Email and Phone Number
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Shaurya Dwivedi personal email
Our efforts in Generative AI are revolutionizing the image, text, and speech domains, with my leadership playing a pivotal role in deploying AI solutions across cloud and edge platforms. My academic foundation at the Indian Institute of Technology, Hyderabad, in Data Science has been instrumental in driving initiatives like the frictionless checkout system, reducing human intervention by 90%.With certifications in Neural Networks and Deep Learning, my work embodies a commitment to leveraging AI advancements for transformative applications. Through collaboration, we've achieved significant milestones, such as a 76% confidence score in action recognition and advanced edge inferencing, underscoring my dedication to elevating AI's potential for societal impact.
Sigma Connectivity
View- Website:
- sigmaconnectivity.se
- Employees:
- 368
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Ai LeadSigma Connectivity Sep 2024 - PresentMalmo, Skåne County, Sweden
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Ai LeaderIntel Corporation Oct 2023 - Aug 2024Bengaluru, Karnataka, India-Fine-tuned FLAN-T5 model to adapt to the telemetry data to create a dialogue summary.-Implemented Performance efficient fine tuning(PeFT) to optimize the FLAN-T5 model.-Implemented Low-Rank Decomposition(LoRA) to reduce the trainable parameters, improving memory efficiency andfine-tuning speed.-Implemented Reinforcement Learning Human Feedback mechanism to fine-tune the FLAN-T5 model.-Improved FLAN-T5 model by aligning them with complex human values through RLHF by training the reward model.-Enhanced LLM-generated responses by combining retrieval-based(RAG) and generative approaches.-Utilized Distillation techniques to transfer knowledge from a large, complex model (teacher) to a smaller, more efficientmodel (student).-Quantized precision of model weights and activations from 32-bit floating point to 8-bit integers.-Deployed Llama3.1 ,by compressing it to INT4, on Intel edge devices using OpenVINO.-Led a team of 7 developers. -
Ai ResearcherIntel Corporation Feb 2022 - Sep 2023Bengaluru, Karnataka, India*Friction Less Checkout- Automated complete shopping experience of a typical grocery store by reducing 90 per cent human intervention.- Architected the end-to-end pipeline for technical implementation.- Developed inference module for Human Pose Estimation using the Open Pose approach with OpenVino as framework.- Trained 3D-Resnet-50 model for Action Recognition with a confidence score of 76 per cent.- Converted the trained model to onnx and quantised to fp16 and fp8 precision for edge inferencing.- Developed inference module for 3D-Resnet-50 at 18 inferences per sec for upcoming server architecture.- Implemented KNN-based background subtraction using OpenCV.- Trained Resnet-18 model for Product Classification(38 classes) with a confidence score of 98 per cent.- Developed inference module for Resnet-18 at 45 inference per sec for upcoming server architecture.- Led a team of 3 developers.
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Research And Development EngineerVisteon India Sep 2019 - Oct 2021Bengaluru Area, India*Driver Monitoring System(DMS)- Responsible for developing Hand on Face Detection Module.- Developed Hand on Face Detection Module using tensorflow and deployed on soc using tflite.* Surround View Monioring System( SVM)- Responsible for developing and deploying SOTA Object Detection Models on SoCs(Qualcomm 8155).- Lane detection on Fisheye images.- Empty parking slot detection.- 360-degree Surround View Monitoring System with Fisheye images- Image sticthing using state-of-the-art Computer Vision algorithms.- Sensor fusion with Steering wheel guidelines and Ultrasonic sensor based alerts.- Our Demo at CES 2020https://www.youtube.com/watch?v=Bawur9yGMuU&t=147s -
Specialist ProgrammerInfosys Jun 2018 - Aug 2019Pune, Maharashtra, India* Converted Muliple client POCs to project- Developed HRSG baffles inspection using Object Detection techniques for quick scan of defects. (Patent Applied)- Increased inspection 20X by automating the inspection task.- Extensively used Python and Tensorflow for the implementation.- Developed end to end pipeline for Audio Classification using Deep Learning- Converted audio frequency data to images representing the spectrogram features. -
Specialist Programmer TraineeInfosys Feb 2018 - Jun 2018Mysore* Self Driving Car - https://www.bloombergquint.com/technology/infosys-building-self-driving-golf-carts-to-be-future-ready- Selected among top 100 programmers at Infosys via Hackathon organised by Hacker Rank.- Used Deep Learning for Computer Vision for Object Detection, Traffic Sign Classification and Semantic Segmentation.- Used Kalman Filters and Particle filters for Sensor Fusion and Localization.
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Systems Engineer(Full Stack Developer)Infosys Jul 2017 - Feb 2018Pune, India* World Anti Doping Agency(WADA)- I was responsible for writing code in JAVA for the legacy shift of the existing application.- I used JSF 2.2 with HTML and CSS for the front end.- Spring Boot, Hibernate, SQL and JMS servers were used for the backend of the application.
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Systems Engineer TraineeInfosys Feb 2017 - Jun 2017Mysore*Joined as a systems engineer trainee- Developed Desktop application using Python for banking as a project.- Trained in OOP using Python- Trained in OOP using JAVA- Trained in Front End Technologies such as HTML, CSS, Bootstrap- Trained SQL
Shaurya Dwivedi Skills
Shaurya Dwivedi Education Details
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Computer Science And Engineering
Frequently Asked Questions about Shaurya Dwivedi
What company does Shaurya Dwivedi work for?
Shaurya Dwivedi works for Sigma Connectivity
What is Shaurya Dwivedi's role at the current company?
Shaurya Dwivedi's current role is AI Leader | Ex-Intel | Edge AI, Language Models, Computer Vision, Deep Learning, IITH.
What is Shaurya Dwivedi's email address?
Shaurya Dwivedi's email address is sh****@****sys.com
What schools did Shaurya Dwivedi attend?
Shaurya Dwivedi attended Indian Institute Of Technology, Hyderabad, Udacity, Dr. A.p.j. Abdul Kalam Technical University.
What are some of Shaurya Dwivedi's interests?
Shaurya Dwivedi has interest in Science And Technology, Education.
What skills is Shaurya Dwivedi known for?
Shaurya Dwivedi has skills like Data Structures, Algorithms, Dbms, Java, C, Python, Communication.
Who are Shaurya Dwivedi's colleagues?
Shaurya Dwivedi's colleagues are Dario Vignali, Christian L'estrade, Nadia Samson, Benjamin Nilsson-Lundqvist, Satish Sugasi, Priyanka Kar, Jonas Brorsson.
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