Raghav Gupta

AI Researcher

Gurgaon, Haryana, India9 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Computer Vision.
Proven track record in healthcare and sports analytics.
Strong background in AWS and deep learning frameworks.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Healthcare and Sports Analytics.

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Skills

Core Skills

Amazon Web Services (aws)Machine LearningData ScienceComputer VisionDeep LearningSoftware Development

Other Skills

textractAWS GlueRetrieval-Augmented Generation (RAG)Generative AIRecommender SystemsAmazon SQSPrompt EngineeringAgentsGraph DatabasesAWS TextractBatch jobsSNS-SQSSHAPPredictive modelingSegmentation models

About

ML for Cancer-Diagnosis. ML-Research @IIT-Hyderabad. Engineering @Grey-Orange. CS+Physics@BITS-Pilani. http://arxiv.org/abs/2012.07735

Experience

9 yrs 1 mo

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 7 mos

Current Experience

Guardant health

Senior Machine Learning Engineer

Oct 2023 – Present · 2 yrs 7 mos · Hyderabad, Telangana, India · Remote

● Document Classification at Scale: Automated classification of medical documents using AWS Textract, Batch/Glue jobs, and SNS-SQS, reducing end-users' search time. System is able to handle large volumes efficiently.
● Appeal Prioritisation Model: Built an appeal scoring model with SHAP explainability, helping the reimbursement team prioritise appeals and maximise claim recovery. Both predictive and prescriptive in nature.
● Signature Extraction Project: Extracted patient signatures from TRF forms using segmentation models. Worked extensively to reduce error by 30%, important for manual cost cutting.
● Physician AI Agent: Built a general-purpose assistant for Physicians, using AWS Agents with a master router directing queries to sub-agents for patient data, reports and clinical trials. Integrated Lambdas as tools to Agent, added guardrails, custom prompts, and latency handling for secure and responsive user experiences.
● Patient Report Knowledge Graph & Summarization: Modeled patient report data (JSON) into a clinical knowledge graph, linking gene alterations, therapies, and NCCN guidelines, enabling structured summaries for physicians.
● Sales AI Assistant: Designed a unified assistant to support sales reps by aggregating data across multiple systems—orders, cancellations, physician interactions, expenditures, and quota tracking. Enabled faster call prep, real-time insights, and a one-stop solution to improve sales planning and physician engagement.

Amazon Web Services (AWS)textractAWS GlueRetrieval-Augmented Generation (RAG)Generative AIRecommender Systems+5

Deep learning analytics

Senior MLE

Sep 2022 – Jul 2023 · 10 mos · Remote

Working with client S3Global for Sports Analytics on Soccer Matches.
Building CV models for object detction, segmentation, pose-detection and team classification on realtime camera feeds for football clubs in Europe.
● Detr (ViT) training and optimisation. Used TensorRT, Sparstiy (30% improvement), Polygraphy, Mixed-Precision for enhanced throughput.
● HRNet for pose-estimation. 3D pose generation using triangulation
● Nvidia-Triton for inference and Deepstream for realtime pipeline
● Tested pipeline on various architectures like DGX, RTX, Ampere, Hopper
● Event-Classification using XGBoost. Automatic detection of events like passes, goals etc for capturing player performance and match statistics
● Extensively worked with camera APIs, Ffmpeg, OpenCV, Redis, Docker for this project

SparsityVideo ProcessingTritonViTMLOpsGenerative AI+10

Frinks digital technologies private limited

Computer Vision Intern

Feb 2021 – May 2021 · 3 mos · Hyderabad, Telangana, India

Developed custom models in YOLOv4 for customers like Gujarat Gas, Jindal Steel, AU Bank. Deployed these models on jetson-nano and xavier. Applied various optimisations like tensor-RT to increase speed.

Defining RequirementsConvolutional Neural Networks (CNN)AndroidComputer Vision

Indian institute of technology, hyderabad

Research Assistant

Aug 2019 – Jul 2022 · 2 yrs 11 mos · Hyderabad, Telangana, India

With focus on Deep-Learning Models, worked at intersection of Computer Vision and
Astrophysics. Neural Differential Equations, Variatonal Inference, Few-Shot Learning. Publication : https://arxiv.org/abs/2012.07735

Convolutional Neural Networks (CNN)Long Short-term Memory (LSTM)Deep Learning

Deepflux

Intern (Machine Learning)

Feb 2019 – Jul 2019 · 5 mos · Noida, Uttar Pradesh, India

Helped improve Digital Marketing Strategy for some of the largest entertainment industries in India. Used various ML techniques for Movie Revenue Prediction. Built complete data pipeline (from scratch) to fetch real-time bookings, parsing, cleaning and saving data. EDA and Visualisations.

Greyorange pte ltd

2 roles

Software Development Engineer

Jul 2016 – Jun 2018 · 1 yr 11 mos · Gurugram, Haryana, India

Built Manager Dashboard from scratch. Millions of Orders fetched, displayed, sorted and filtered, all real-time. Built using flask, Postgres, SQLAlchemy and Tornado, with React front-end.
● pub/sub model: pushed data over multiple channels simultaneously (over web-sockets)
● filtering and sorting millions of orders using SQLAlchemy as ORM
● Prediction System: notify possible breach of order fulfilment

Web ApplicationsUnit TestingProgrammingSoftware Development