Aditya Kulkarni

AI Engineer

GoHighLevel

May 2025 - Current (1 year 2 months)

Project 1: ( to ) Payroll and data migration across global HR teams was manual and error-prone, often plagued by inconsistencies across thousands of records. I identified key automation gaps and built an AI solution using Python and Gemini 2.0, streamlining operations across 6+ countries, resolving 4,000+ data issues, and processing 10,000+ records with high accuracy. • Designed and implemented an automated file renaming pipeline specifically tailored for HR data migration processes, meeting DarwinBox import specifications; successfully executed automation for over 10,000 employee folders, ensuring quick, error-free, and efficient batch data imports. • Developed Python automation scripts using Gemini 2.0 to streamline HRIS migration from

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Co-Founder

Irika

Jun 2024 - Current (2 years 1 month)

Co-founded Irica, an ongoing smart irrigation startup focused on building an end-to-end intelligent system that automates plant watering based on real-time soil moisture, temperature, and specific crop requirements. The solution provides wireless control of irrigation equipment, helpingfarmers make more informed and sustainable decisions. • Developed a fully functional MVP using Node.js that captures and analyzes key field metrics—such as soil moisture, temperature, irrigation necessity, and other actionable insights—empowering users with real-time, data-driven farming recommendations. • Currently integrating an AI-powered chatbot to deliver personalized agricultural guidance and recommendations, enabling farmers to interact with their fi

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Data Scientist

Konverge.AI

Dec 2021 - Aug 2023 (1 year 9 months)

1: In early 2023, as generative AI APIs were emerging and most organizations were still uncertain about practical applications, HR teams continued to struggle with fragmented, manual processes for accessing and analyzing employee data. Recognizing this gap, I developed an AI-powered HR QA and analytics platform using RAG architecture and LangChain, enabling accurate, scalable querying of unstructured HR data, positioning the solution at theforefront of thefirst wave of enterprise AI adoption. • Developed a robust HR QA application using RAG architecture and LangChain, enabling accurate querying across unstructured data formats (PDF, TXT, CSV), boosting employee data accessibility and decision-making efficiency by 35%. • Enabled Python-bas

AI-Driven Pitch Deck Evaluator

Wadhwani Foundation

In an effort to streamline and enhance investor pitch analysis, we developed a GPT-4-powered application that evaluates PowerPoint presentations, boosting scoring accuracy by 30% and providing clients with tailored, actionablefeedback • Played a key role in prompt engineering and LLM module selection, fine-tuning GPT-4 interactions to maximize relevance and quality of insights, ultimately increasing client satisfaction by 25%. • Conducted extensive research on module selection and LLM (Large Language Model) usage and played a key role in prompt engineering, optimizing GPT-4 interactions to ensure relevant and actionable feedback, which increased client satisfaction by 25% • Designed and implemented robust API models to ensure seamless co

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