S

Santosh Yadav, PhD (EE), IIT Guwahati

AI Researcher

Bangalore Urban, Karnataka, India14 yrs 5 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in developing production-ready predictive models.
  • Proven track record in advanced document intelligence solutions.
  • Strong background in machine learning and data-driven decision making.
Stackforce AI infers this person is a Data Science and AI specialist with a focus on SaaS and Healthcare applications.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningData Science

Other Skills

AlgorithmsBuilding ModelsBusiness InsightsCC++ChatGPTData AnalysisData EngineeringData MiningDecision TreesDeep LearningGenerative AIHTMLHypothesis TestingImage Processing

About

A results-driven data science professional with a robust academic foundation in data analysis, machine learning, and statistical modeling. Proven track record of developing production ready predictive models and data-driven solutions to optimize business processes. Recent works include the creation of advanced document intelligence solutions leveraging Gen AI and LLMs. Implemented production ready systems and deployed those for information retrieval, knowledge graph extraction, large document layout parsing, chunking, attribute & facet extraction, retrieval-augmented generation, and in-context learning. In previous roles, developed NLP applications for text processing, Anomaly/Fraud Detection, Hybrid Recommendation, and Match-making using BERT and other attention/transformer based models. During my academic tenure as part of PhD thesis, I worked on developing faster and adaptive (data-dependent) signal and image restoration algorithms with applications in biomedical engineering. Well versed with Python, TensorFlow, Keras, PyTorch, Pandas, Numpy, MySQL, MongoDB, Flask, etc. and Azure ML/Open AI Studio platforms. Additional skills includes, problem solving, critical thinking, team building, project and people management, strategic negotiation, conflict resolution, and fluent in English. Committed to leveraging Gen AI to help businesses make data-driven decisions and enable users get maximum out of technology offerings.

Experience

14 yrs 5 mos
Total Experience
2 yrs 8 mos
Average Tenure
1 yr
Current Experience

Microsoft

Principal Applied Scientist

May 2025Present · 1 yr · Bengaluru, Karnataka, India

Icertis

Principal Data Scientist

Mar 2022Mar 2025 · 3 yrs · Bengaluru/Pune · Remote

  • Played a key role in developing ExploreAI services, the flagship product of the organization. Developed core capabilities for copilots such as Contract Risk Assessment Copilot and Interactive Insight Copilot. Created an Azure Assistant API-based plugin orchestration platform for next-generation contract intelligence.
ChatGPTArtificial Intelligence (AI)Prompt EngineeringMachine LearningProject ManagementMLOps+4

Info edge india ltd

3 roles

Associate Vice President Data Science

Promoted

Apr 2021Feb 2022 · 10 mos

Building ModelsArtificial Intelligence (AI)Data EngineeringMachine LearningProject ManagementPeople Management+6

Principal Data Scientist

Apr 2019Mar 2021 · 1 yr 11 mos

Building ModelsMLOpsPattern RecognitionPresentations

Senior Data Scientist

Feb 2018Mar 2019 · 1 yr 1 mo

Building ModelsMLOpsPattern RecognitionPresentations

Indian institute of science (iisc)

Post Doctorate Research Associate

Sep 2017Feb 2018 · 5 mos · Indian Institute of Science (IISc)

  • Worked in two projects:
  • Project 1: (Image Deconvolution) Digital images degraded by multiplicative noise are hardly perceivable by computers. It makes the deconvolution a necessary preprocessing step in medical image processing work flow. In existing literature, a number of methods considering Gaussian noise model (GNM) exist. However, GNM is a crude assumption here and generalizing this to a wide variety of noise models is where the goal of the project.
  • Project 2: (Data Analytics on PMU data) Since Synchrophasor measurement technology (SMT) have surpassed the ability of SCADA, there has been an upsurge in interest for data analytics in power engineering community. The SMT enables to measure the line voltage/current at very high sampling rate and hence opens an opportunity to detect and classify different events/faults in the power distribution networks (PDN). The goal of the project is to develop complete framework, including hardware, for monitoring the PDN.
Pattern RecognitionPresentations

Thapar institute of engineering and technology

Visiting Assistant Professor

Apr 2017Sep 2017 · 5 mos · Patiala Area, India

  • Taught Digital Signal Processing (DSP) and Electromagnetic Theory (EMT) to Undergrad classes. Actively carried out different institute and department level non-teaching responsibilities.
Presentations

Iit guwahati

Research And Teaching Assistant

Jul 2011Apr 2017 · 5 yrs 9 mos · Guwahati Area, India

Presentations

Education

Indian Institute of Technology, Guwahati

Doctor of Philosophy (PhD) — Electrical and Electronics Engineering

Jan 2011Jan 2017

University Institute of Technology, The University of Burdwan

Bachelor of Technology (B.Tech.) — Electronics and Communications Engineering

Jan 2008Jan 2011

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