Riyon Sarma profile photo 1 on Tal

Riyon Sarma

Staff AI Engineer, GTM at Fello.ai

India

4+ years of work experience

Fello
May 20262 mosPresent

Fello
Nov 20257 mosMay 2026

Fello
May 20256 mosOct 2025

Crafting extensions of human capability
Avegen
Jun 202311 mosApr 2024

Pune District, Maharashtra, India

• Enabled data-to-model workflows within a digital health ecosystem, focusing on scalable infrastructure and experimentation velocity. • Designed and maintained end-to-end pipelines using Python and SQL to structure high-quality datasets for ML experimentation and A/B testing. • Optimized and debugged data flows, reducing processing time by 20% and ensuring cleaner inputs for model training and validation. • Automated key ETL and QA routines, creating a foundation for reproducible experiments and saving ~15 hours/week for the data science team. • Refined app-level event tracking to increase signal clarity — improving feature engineering inputs by 70% and enabling better behavioral modeling. • Built interactive data exploration tools and dashboards that helped identify high-impact variables and validate early-stage hypotheses for predictive models.
Monetize360
2024Less than a year2024

Manipal, Karnataka, India

• Led development of agentic AI systems for a large-scale monetization platform. • Built and deployed mPilot, a generative AI assistant inspired by GitHub Copilot. • Managed the full product lifecycle — from client needs to final delivery. • Collaborated with engineering, design, and business teams to align AI with goals. • Helped shape monetization strategies through data-driven insights and AI system integration.
HighRadius
Apr 20191 yr 1 moApr 2020

• Applied statistical analysis and performance monitoring to oversee engineering operations for 50% of the product portfolio, ensuring alignment with delivery goals. • Collaborated cross-functionally to transform raw operational metrics into actionable insights using exploratory data analysis and modeling techniques. • Reinforced product feedback loops by leveraging structured data, enabling continuous improvement through predictive insights and trend identification. • Designed and implemented data-driven KPIs to quantify and enhance engineering efficiency and system performance. • Developed end-to-end reporting pipelines and dashboards to support data-informed decision-making across product teams.
HighRadius
Jul 201810 mosApr 2019

• Supported Agile onboarding and documented SDLC processes for engineering teams. • Created dashboards and reports using Google Sheets and Looker Studio. • Helped streamline early reporting workflows across sales, marketing, and engineering.
Qrius (formerly The Indian Economist)
Sep 20183 mosNov 2018

Pune District, Maharashtra, India

Contributed to the company's marketing division in the app segment by leveraging data science techniques to analyse large datasets and uncover insights. Developed a thesis presenting innovative, data-driven app marketing strategies based on statistical modeling, user behaviour analysis and predictive analytics

Education

Kalinga Institute of Industrial Technology, Bhubaneswar

Bachelor of Technology - BTech, Mechanical Engineering

Kalinga Institute of Industrial Technology, Bhubaneswar

20154 yrs2019
kendriya vidyalaya

High School, Science

kendriya vidyalaya

20132 yrs2015

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Headline

Staff AI Engineer, GTM at Fello.ai

About

I enjoy building things that make sense to people, systems and the world they’re meant to work in. Making intelligence useful, that’s the north star. Curiosity drives the learning and clarity drives the build. Currently building applied AI products at scale and always exploring better ways to align machine capability with human needs. Solving complex problems is great, but solving them with kind and curious people? Even better. Always open to meaningful tech, thoughtful conversations and ambitious ideas.

Location

India

Work experience

Staff AI Engineer, GTM at Fello, May 2026 - Present · 2 mos

Lead AI Engineer, GTM at Fello, Nov 2025 - May 2026 · 7 mos

Applied AI Engineer at Fello, May 2025 - Oct 2025 · 6 mos, Crafting extensions of human capability

Data Scientist at Avegen, Jun 2023 - Apr 2024 · 11 mos, Pune District, Maharashtra, India, • Enabled data-to-model workflows within a digital health ecosystem, focusing on scalable infrastructure and experimentation velocity. • Designed and maintained end-to-end pipelines using Python and SQL to structure high-quality datasets for ML experimentation and A/B testing. • Optimized and debugged data flows, reducing processing time by 20% and ensuring cleaner inputs for model training and validation. • Automated key ETL and QA routines, creating a foundation for reproducible experiments and saving ~15 hours/week for the data science team. • Refined app-level event tracking to increase signal clarity — improving feature engineering inputs by 70% and enabling better behavioral modeling. • Built interactive data exploration tools and dashboards that helped identify high-impact variables and validate early-stage hypotheses for predictive models.

AI & Product Innovation at Monetize360, 2024 - 2024 · Less than a year, Manipal, Karnataka, India, • Led development of agentic AI systems for a large-scale monetization platform. • Built and deployed mPilot, a generative AI assistant inspired by GitHub Copilot. • Managed the full product lifecycle — from client needs to final delivery. • Collaborated with engineering, design, and business teams to align AI with goals. • Helped shape monetization strategies through data-driven insights and AI system integration.

Business Analyst at HighRadius, Apr 2019 - Apr 2020 · 1 yr 1 mo, • Applied statistical analysis and performance monitoring to oversee engineering operations for 50% of the product portfolio, ensuring alignment with delivery goals. • Collaborated cross-functionally to transform raw operational metrics into actionable insights using exploratory data analysis and modeling techniques. • Reinforced product feedback loops by leveraging structured data, enabling continuous improvement through predictive insights and trend identification. • Designed and implemented data-driven KPIs to quantify and enhance engineering efficiency and system performance. • Developed end-to-end reporting pipelines and dashboards to support data-informed decision-making across product teams.

Intern Business Analyst at HighRadius, Jul 2018 - Apr 2019 · 10 mos, • Supported Agile onboarding and documented SDLC processes for engineering teams. • Created dashboards and reports using Google Sheets and Looker Studio. • Helped streamline early reporting workflows across sales, marketing, and engineering.

Machine Learning Researcher at Qrius (formerly The Indian Economist), Sep 2018 - Nov 2018 · 3 mos, Pune District, Maharashtra, India, Contributed to the company's marketing division in the app segment by leveraging data science techniques to analyse large datasets and uncover insights. Developed a thesis presenting innovative, data-driven app marketing strategies based on statistical modeling, user behaviour analysis and predictive analytics

Education

Bachelor of Technology - BTech, Mechanical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar

High School, Science, kendriya vidyalaya