Headline

Engineering intelligent systems that learn, retrieve and automate at scale | LLMs • RAG • AI Automation

About

I’m an AI & Data professional focused on building practical, end-to-end solutions using AI, automation, data, and software engineering. My work sits at the intersection of Generative AI, LLMs, AI agents, data engineering, automation, and application development. I enjoy taking an idea from concept to a working product—designing the workflow, integrating APIs and data sources, building the AI layer, and turning it into something that can actually be used. I have hands-on experience working with Python, SQL, Pandas, APIs, databases, data pipelines, LLM applications, RAG, AI-assisted development, and automation workflows. I particularly enjoy experimenting with new AI capabilities and using them to solve real business problems rather than building AI solutions purely for experimentation. One of my projects is a Knowledge Hub, an AI-powered knowledge system designed to allow users to interact with a curated knowledge base and obtain grounded responses from available sources. I have also worked on end-to-end AI and automation projects involving data processing, retrieval, integrations, and application workflows. I’m continuously strengthening my foundations in Python, SQL, data engineering, and machine learning, while expanding my capabilities in GenAI, AI agents, RAG, and production-oriented AI systems. Areas of interest: Generative AI • LLMs • AI Agents • RAG • AI Automation • Python • SQL • Data Engineering • Data Science • APIs • Data Pipelines • AI Product Development My goal: build intelligent, reliable, and useful products that combine AI + data + automation + software engineering to solve real-world problems.

Location

Bhawanipatna

AI stack

claude code

langgraph

openai

ChatGPT

Pinecone

Supabase

Work experience

AI Specialist at India Animal Fund, Sep 2025 - Present · 1 yr 1 mo, Remote, 🔹 Building AI-powered tools and chatbots to support community engagement 🔹 Developing LLM-based myth-busting systems to spread awareness around animal welfare 🔹 Creating scalable solutions for Gen Z engagement and plant-based advocacy 🔹 Exploring the use of databases + vector search to make AI responses faster, cheaper, and more reliable

Generative AI Engineer at India Animal Fund, Sep 2025 - Present · 1 yr 1 mo, Built a Hybrid RAG knowledge platform supporting 10+ document/data sources (PDFs, Word, Excel, websites, YouTube transcripts) using document processing, semantic chunking, metadata enrichment, hybrid keyword and semantic vector search, and Supabase pgvector to centralize organizational knowledge; integrated Whisper and FFmpeg for audio transcription. Engineered context-aware LLM orchestration and prompt engineering to select and organize relevant retrieved information before generating responses with GPT-4o, improving response grounding and reducing hallucination risk. Developed FastAPI-based AI services with asynchronous REST APIs, JWT authentication, and Swagger docs, deployed on a Linux VPS using Nginx and systemd-managed logging for production-grade reliability. Built a custom AI Visibility/SEO Intelligence platform integrating Search Console and Analytics data with LLM-based analysis to track search visibility, cluster keywords, classify personas, and generate actionable insights — cutting manual reporting effort for the marketing team. Built and deployed 24×7 AI assistants on Telegram and Discord for internal knowledge retrieval, giving teams conversational access to organizational information and reducing response time on recurring questions. Automated lead/signup workflows using Power Automate, capturing user submissions into structured spreadsheets while triggering automated email responses. Designed and deployed broader AI and automation workflows across websites, forms, spreadsheets, APIs, databases, and communication platforms, integrating LLMs and business processes to reduce repetitive manual work for internal teams.

Machine Learning Engineer at testAIng.com, Jan 2025 - Jul 2025 · 7 mos, Bengaluru, Karnataka, India, Built an LLM chatbot using LangChain and RAG, giving the team conversational access to internal documentation through a Streamlit interface. Developed text classification and sentiment-analysis pipelines using NLP, paired with large-scale web-scraping workflows, to support downstream machine learning experiments. Developed data handling procedures using Python, Pandas, and NumPy, addressing data integrity issues to support robust model training. Employed automated testing techniques with Selenium to enhance product quality.

Data Analyst at Sri Shankara Cancer Foundation, May 2024 - Nov 2024 · 7 mos, Analyzed 1,00,000+ patient, survey, and campaign records using Advanced Excel (VLOOKUP, HLOOKUP, Pivot Tables, Filters, formulas) for data cleaning, analysis, and trend identification; developed interactive Power BI dashboards and reports to support effective business decisions. Developed Python-based web scraping and automation workflows using Selenium and BeautifulSoup to extract news articles and information from static and dynamic web pages, streamlining data collection and analysis.

Instructor at Chegg India, Oct 2023 - Mar 2024 · 6 mos, Solved questions of Mathematics, Advanced Mathematics in Chegg Portal using inbuilt tools and Latex. Trained 15 to 20 SME’S as SME trainer on Chegg Portal

Education

Msc Data science, Jain (Deemed-to-be University)

Bsc, Mathematics, Vikash The Concept School

Public links

github: https://github.com/SASWAT-KUNAL