Rishabh Vats

Business Development Executive

Bengaluru, Karnataka, India11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI-driven solutions and data science.
Developed comprehensive analytics dashboards for marketing.
Inducted into prestigious AI business fellowship programs.

Stackforce AI infers this person is a skilled AI and Data Science professional with experience in developing innovative solutions across various industries.

Contact

Skills

Core Skills

Python (programming Language)Large Language Models (llm)Artificial Intelligence (ai)Generative AiBusiness StrategyData EngineeringAnalyticsData ScienceComputer-aided Design (cad)

Other Skills

Large Language Model Operations (LLMOps)Apache AirflowMCPPandas (Software)Extract, Transform, Load (ETL)Retrieval-Augmented Generation (RAG)Analytical SkillsPrompt EngineeringProblem SolvingApplication Programming Interfaces (API)SQLPostgreSQLGoogle BigQueryVector DatabasesFastAPI

About

I'm a recent grad from IIITDM Kurnool, where I majored in Mechanical Engineering and developed a keen interest in Generative AI, Machine Learning and Data Science as well. Also pursuing a dual degree in BS Data Science and Applications from IIT Madras, which equipped me with a comprehensive understanding of computation, engineering principles and data-driven technologies. Across my roles, I have developed expertise in building, while being inducted into the Perplexity AI Business Fellowship for a college startup venture and the McKinsey Forward program. This unique blend of technical skills and strategic insights drives my passion for advancing AI driven solutions and providing technical solutions to business problemsI am really into mathematical and philosophical puzzles and paradoxes and actively explore these intellectual challenges, with my nagging urge for learning driving me towards self improvement and my developing my problem solving abilities

Experience

11 mos

Total Experience

7 mos

Average Tenure

4 mos

Current Experience

Slice

Analyst

Feb 2026 – Present · 4 mos · Bengaluru · On-site

Python (Programming Language)Large Language Model Operations (LLMOps)Apache AirflowMCPPandas (Software)Extract, Transform, Load (ETL)+5

Robylon ai

Forward Deployed Engineer

Jul 2025 – Feb 2026 · 7 mos · Bengaluru · On-site

Developed and deployed AI agents across multiple channels, Chat, Ticketing, Social Media and Knowledge Base (RAG), tailored to diverse client use cases
Engineered custom tools and MCP/JSON definitions to extend agent functionality and integrate with external APIs
Built and tested voice AI systems leveraging Vapi, Deepgram and ElevenLabs. Deployed multi-agent systems on Google Vertex AI with Gemini 2.5 Pro & Flash models
Streamlined operations by writing Standard Operating Procedures for establishing proper benchmarking and eval metrics, maintaining detailed agent documentation and enabling cross-team communication for seamless handoffs
Automated monitoring pipelines by writing SQL queries to schedule Redash Cron jobs, delivering daily ticket/chat accuracy metrics for clients
Improved CSAT scores for chat and ticket resolution accuracy for Fintech/Broking & Ecommerce clients

Python (Programming Language)Retrieval-Augmented Generation (RAG)Large Language Model Operations (LLMOps)Problem SolvingApplication Programming Interfaces (API)Large Language Models (LLM)+9

Consuy

AI Engineer

May 2025 – Jul 2025 · 2 mos · Calgary, Alberta, Canada · Remote

FastAPILarge Language Model Operations (LLMOps)Retrieval-Augmented Generation (RAG)LangChainGitLarge Language Models (LLM)+1

Perplexity

AI Business Fellowship

Mar 2025 – Aug 2025 · 5 mos · Remote

Inducted into the inaugural Perplexity AI Business Fellowship Program 2025

Retrieval-Augmented Generation (RAG)Vector DatabasesGenerative AIApplication Programming Interfaces (API)Large Language Models (LLM)Business Strategy+2

Mckinsey & company

Forward Fellow

Mar 2025 – Jul 2025 · 4 mos · Remote

Analytical SkillsProblem SolvingBusiness Strategy

Divyasrishti digital

Data Analyst

Jan 2025 – Apr 2025 · 3 mos · Remote

Worked as a Data Analyst Intern, where I developed a comprehensive Data Analytics Dashboard to streamline and visualize key performance metrics from Google Ads and Meta Ad campaigns.
Key Contributions -
Designed a dynamic dashboard to track ad spend, ROI, CTR, CPC, conversions and audience engagement.
Built ETL (Extract, Transform, Load) pipelines to ingest campaign data from Google Ads and Meta Ads APIs, ensuring clean, structured and analytics ready datasets for dashboard integration.
Developed benchmarking models to compare campaign KPIs across timeframes, channels, and audiences, highlighting underperforming segments and informing budget reallocation strategies.
Automated reporting workflows, reducing manual analysis time and enhancing strategic decision-making.

Data EngineeringAnalyticsSQLStreamlitApplication Programming Interfaces (API)Git+3

Outlier

LLM Trainer

Jul 2024 – Mar 2025 · 8 mos · India · Remote

As an LLM Trainer at Outlier, I evaluated AI-generated responses to ensure high quality and provided feedback for enhancement. Collaborating with the team, we implemented improvements to maintain high standards in AI performance.

Prompt EngineeringReinforcement Learning