Tanmay Dhote

Co-Founder

Bengaluru, Karnataka, India10 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Co-founded multiple AI-focused startups.
Expert in AI strategy and implementation.
Strong background in data science and machine learning.

Stackforce AI infers this person is a SaaS and EdTech expert with a strong focus on AI-driven solutions.

Contact

tanmaydhote310@gmail.com LinkedIn

Skills

Core Skills

Ai StrategyGenerative AiAi In EducationSearch TechnologyData Science

Other Skills

AI CopilotAI Teacher CoachAI-driven SearchAutoCADCC++Data MiningData VisualizationEclipseEducational PartnershipsHTMLJavaJavaScriptK12 EducationLaTeX

About

Building something new. I am passionate about using AI to create impact at scale. https://cal.com/tanmay-dhote-olvlkg/30min Prior to this, I was working as a Data Scientist at the Search Technology Centre, Microsoft India Development Centre (MSIDC), Hyderabad. As part of my role at Microsoft, I got the opportunity to work with a multitude of teams across functions and geographies. I was able to create a significant impact across projects through a detail-oriented and data-driven approach. I completed my Dual Degree (B. Tech. and M. Tech. in CS) from the Department of Computer Science and Engineering, IIT Madras with a minor in Management. My primary technical interests lie in the fields of Artificial Intelligence and Data Sciences - Machine Learning, Data Mining, Natural Language Processing, Pattern Recognition etc.

Experience

Polymath ai

Co-Founder

Nov 2024 – Present · 1 yr 4 mos · United States · Hybrid

Polymath is an AI Strategy, Training, and Implementation firm specializing in Generative AI and Large Language Models (LLMs). We empower organizations to effectively integrate and scale AI across their operations.
Core Offerings:
Strategic AI Consulting: AI readiness assessments and tailored adoption roadmaps.
AI Training Programs: Comprehensive training for both technical and non-technical teams, enabling confident deployment of AI tools and workflows.
Custom AI Development: Specialized solutions, including Retrieval-Augmented Generation (RAG) systems, fine-tuned language models, multi-agent workflows, and domain-specific copilots.
We have partnered with a diverse range of organizations, including global enterprises, financial institutions, VC-backed startups, educational institutions, and leading non-profits to accelerate their AI readiness journeys.

AI StrategyGenerative AILarge Language Models

Shikha learning labs

Co-Founder

Nov 2023 – Oct 2024 · 11 mos · Mumbai, Maharashtra, India

Built an AI Teacher coach to improve in-class teaching. Partnered with some of the biggest educational organisations to deliver impact at scale.

AI Teacher CoachEducational PartnershipsAI in Education

Teaching tools

Co-Founder

Apr 2023 – Oct 2023 · 6 mos

Built AI Copilot used by 300k+ teachers. Moved on to start a K12 ed tech company backed by one of India's largest family offices.

AI CopilotK12 EducationAI in Education

Solocl

Co-Founder

Jan 2022 – Mar 2023 · 1 yr 2 mos · Nagpur, Maharashtra, India

Building search that works for India.
We built an AI-driven Search As A Service platform that improves the search quality on platforms with non-English speaking users. Deployed Query Understanding, Retrieval and Ranking models to improve relevance of search results.
Integrated natural language & voice search, using both keyword and semantic search (probably early for its time).
Secured pilots with leading companies with vernacular users and early adopters on ONDC. Learnt that the market for a vernacular search solution was smaller than we expected.

AI-driven SearchNatural Language ProcessingSearch Technology

Naya

Angel Investor

Mar 2021 – Present · 5 yrs · Cambridge, Massachusetts, United States

Naya Studio is a design collaboration platform that transforms ideas into reality through AI.
Notable co-investors:
Evan Sharp (Founder, Pinterest)
Praveer Melwani (CFO, Figma)
Data Power Ventures
Maple VC
dnx ventures

Microsoft

Data Science and Machine Learning

Jun 2016 – Feb 2022 · 5 yrs 8 mos · Hyderabad Area, India

Improved relevance of Local Search for India and multiple international markets by building Ranking and Query Understanding models.
Build recommendation models for driving experiences such as Related Entities and People Also Search For
Built intelligent search features at scale for Microsoft Edge and Microsoft Teams.

Ranking ModelsQuery UnderstandingData Science

Indian institute of technology, madras

2 roles

Teaching Assistant - Data Mining

Jan 2016 – May 2016 · 4 mos · Greater Chennai Area

Teaching Assistant for the Data Mining elective offered in Spring 2016. Evaluated written assignments, programming questions and examinations. Conducted tutorials in class to enhance the understanding of concepts.

Data MiningTeaching AssistanceData Science

Teaching Assistant - Natural Language Processing

Aug 2015 – Nov 2015 · 3 mos · Greater Chennai Area

Teaching Assistant for the Natural Language Processing course offered in Fall 2015. Assisted the faculty with classroom instruction, record keeping and in the overall smooth conduct of the course. Proctored exams, tutoring students and mentoring 30 of them in their projects and assignments.

Natural Language ProcessingTeaching AssistanceData Science

Ebay

Summer Intern

May 2014 – Jul 2014 · 2 mos · Greater Bengaluru Area

Worked with the Trust and Fraud team and performed an assessment of the different user verification methods. Developed machine learning based models to predict future transactional behavior of users. Analysed large amounts of user transaction and verification data to find patterns across fraudulent users. Recommended alterations to the existing verification policy to minimise fraud risk. Created a data visualisation dashboard in Tableau to enable easier and quicker understanding of information.

Machine LearningData VisualizationData Science

Polaris consulting & services ltd

Intern

Jun 2013 – Jul 2013 · 1 mo · Greater Chennai Area

Built a system which returns the most suitable results to a job description query from a resume database. Treated Wikipedia as a text augmenting tool to account for inexact but possibly relevant matches. Eliminated the human effort of going through every resume by supplying a filtered subset.

Resume MatchingText ProcessingData Science