Tuhin Sharma

Co-Founder

Bengaluru, Karnataka, India13 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led AI initiatives bridging research and enterprise implementation.
Pioneered multiple AI-driven products enhancing operational efficiency.
Filed 5 US patents in Machine Learning and NLP.

Stackforce AI infers this person is a SaaS and AI solutions architect with extensive experience in enterprise applications.

Contact

tuhinsharma121@gmail.com LinkedIn

Skills

Other Skills

AlgorithmsApache SparkData MiningData StructuresJavaMachine LearningPythonPython (Programming Language)SQL

About

Tuhin Sharma is Technical Advisor @ Red Hat Data & AI. Previously he worked as AI Architect at Hypersonix, an Intelligence product for Enterprises with AI-driven Augmented Analytics. Prior that, he founded Binaize, an AI based website conversion product for E-Commerce SMBs. He worked in IBM Watson as Data Scientist. He helped multiple startups build personalized recommendation systems to maximize customer engagement using AI across multiple domains like EdTech, Media, E-comm etc. He has filed 5 US patents and published 4 research papers in the field of Machine Learning and Natural Language Processing. He writes Deep Learning articles for O’reilly. Apart from this, He loves to play table tennis and guitar in his leisure time. His favourite quote is “Life is Beautiful.”

Experience

Red hat

2 roles

Technical Advisor, Data & AI

Promoted

May 2025 – Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

I lead strategic initiatives that bridge AI research and enterprise implementation. My responsibilities include identifying emerging AI trends, evaluating and advising on AI-driven product strategies, shaping the roadmap for enterprise GenAI adoption, and driving cross-functional collaboration across data, engineering, and business teams. I also play a key role in assessing technical partnerships, guiding AI governance frameworks, and ensuring alignment with industry best practices to accelerate innovation at scale.

Senior Principal Data Scientist

Jul 2021 – Apr 2025 · 3 yrs 9 mos · Bengaluru, Karnataka, India · Hybrid

Architected and led the development of JarvisAI, a suite of Generative AI (GenAI) products aimed at enhancing operational efficiency across multiple business units within the organization. Designed and implemented an end-to-end workflow incorporating cutting-edge technology such as QDRANT, OpenShift AI, and ROSA P4 clusters, achieving a scalable and robust infrastructure for organization-wide AI applications.
Pioneered the development of Telesense, a comprehensive analytics suite designed to convert customer usage data into targeted, actionable insights. Enabled data-driven decision-making through advanced analytics, empowering teams to drive measurable improvements in customer engagement and product performance.

Hypersonix inc.

AI Architect

Nov 2020 – Jul 2021 · 8 mos · Bengaluru, Karnataka, India · Remote

Led the architectural design of the end-to-end machine learning pipeline for the Hawkeye project, an actionable intelligence platform aimed at driving profitable revenue growth for enterprises. This role involved building a robust ML pipeline using AWS EMR, Mlflow, and Apache Superset, which streamlined data processing and insights generation. I also implemented Test-Driven Development (TDD) methodologies, ensuring high standards in ML solution development and deployment. This work empowered teams to make data-driven decisions with precision and efficiency.
Finetuned XLNET to standardize product catalogues for Digital Trends.

Techstars

Cohort Member

Dec 2019 – Mar 2020 · 3 mos · Austin, Texas Area · On-site

Binaize

Co-Founder & CEO

Nov 2017 – Nov 2020 · 3 yrs · Austin, Texas Area · Hybrid

Led an innovative lean team dedicated to revolutionizing e-commerce conversions for small and medium-sized businesses. Our platform leverages cutting-edge AI and machine learning technologies to provide real-time conversion intelligence, helping online retailers optimize their websites for maximum impact.
We developed a powerful solution that enables e-commerce businesses to test various designs, messaging, and pricing strategies, resulting in conversion improvements of up to 3X. Our easy-to-integrate platform works seamlessly with major e-commerce platforms, allowing for efficient split testing and optimization up to 70% faster than competing solutions.

Pandas

Contributor

Aug 2017 – Present · 8 yrs 7 mos · Remote

Pandas is a flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
One of the top 20 contributors world wide. Currently leading the documentation efforts and few bug fixes for major release 3.0.0

Red hat

Senior Data Scientist

Feb 2017 – Sep 2017 · 7 mos · Bengaluru, Karnataka, India · On-site

Ibm

2 roles

Data Scientist

Jul 2014 – Feb 2017 · 2 yrs 7 mos · Bengaluru, Karnataka, India · On-site

Led and executed data science initiatives within IBM Watson, focusing on developing machine learning models and analytics solutions for large-scale applications across retail, customer analytics, social media, event scheduling, and sports. Key projects included:
Demand Insight: Designed and implemented an Attribute-Based Forecasting (ABF) model using PySpark to forecast product demand based on weather and social data, deployed for Meijer across 200 U.S. locations.
Predictive Customer Analytics: Built and deployed Random Forest and Gradient Boosted Tree models using PySpark on the Bluemix Big Data platform to deliver customer insights such as churn prediction, Customer Lifetime Value (CLV), and segmentation.
Social Media Analytics: Developed and operationalized Event Detection Models (EDM) to analyze Twitter data for financial institutions like ICICI, KOTAK MAHINDRA, and YESBANK, enabling targeted customer engagement and enhanced service insights.
FreeTime Designer for SXSW 2015: Developed a dynamic scheduling algorithm to generate personalized event schedules for conference attendees, utilized by over 40,000 users.
Score With Data for Cricket World Cup 2015: Engineered an AI-based system to aggregate, clean, and analyze real-time Twitter data, generating match highlights broadcasted on CNN-IBN, with average ingestion rates of 1 million tweets per match.