---
title: "Kapil Sharma - AI Developer in Delhi | Tal"
description: "Meet Kapil Sharma, AI/ML Engineer | Software Developer | Data Analyst | LLM · RAG · Gen AI · Predictive Modeling | Python · SQL · Power BI · Tableau · BI Tools | Open to Global Opportunities based in Delhi."
image: "https://tal.club/meet/kapil-10/share-image"
---

# Kapil Sharma on Tal

## Headline

AI/ML Engineer \| Software Developer \| Data Analyst \| LLM · RAG · Gen AI · Predictive Modeling \| Python · SQL · Power BI · Tableau · BI Tools \| Open to Global Opportunities

## About

I build AI systems that turn data into decisions — and decisions into working software\. B\.Tech Computer Science graduate \(JIIT Noida, 2026\), focused on Applied AI/ML, LLM\-powered applications, and Business Intelligence\. I work across the full stack of a data product: from cleaning and querying raw data, to building and serving ML models, to shipping LLM features behind real APIs, to turning results into dashboards leadership can act on\. What I've been building: → RAG \(Retrieval\-Augmented Generation\) pipelines using LLM APIs, embeddings, and vector stores — so users get grounded, source\-cited answers instead of searching manually → Agentic AI workflows that chain LLM calls with tools to automate multi\-step manual tasks → Python backend services in FastAPI — REST endpoints for ML model and LLM serving — containerized with Docker and shipped via GitHub Actions CI/CD → Generative AI integrations with OpenAI and Anthropic Claude, using few\-shot and chain\-of\-thought prompting for more accurate, consistent outputs → Advanced SQL analysis and Power BI dashboards that replaced manual spreadsheet reporting for leadership How I think: I frame the business problem first, validate the data, build the solution, then ship it — closer to an engineer\-who\-understands\-the\-business than someone who just trains models or just writes reports\. Tech: Python · FastAPI · Docker · LLM APIs \(OpenAI, Anthropic\) · LangChain · RAG · vector databases · Scikit\-Learn · XGBoost · SQL · Power BI · DAX · Tableau · PostgreSQL · Git Focus areas: Generative AI · RAG · Agentic AI · LLM integration · Machine Learning · Data Analytics Open to: AI/ML Engineer · AI Developer · Software Developer · Data Analyst roles\. Available immediately · Based in Delhi NCR · Open to remote & relocation\. 📧 kapilsharma\.24011@gmail\.com

## Location

Delhi

## Work experience

AI Developer at Kartik Infratown Private Limited, Nov 2025 \- May 2026 · 7 mos, Noida, Uttar Pradesh, India, AI Developer Intern building LLM\-powered features, RAG pipelines, and workflow automations — with backend and BI work alongside\. \- Built RAG \(Retrieval\-Augmented Generation\) pipelines over \[internal docs / knowledge base\] using \[LLM API\] \+ embeddings \+ a vector store \(\[FAISS / Pinecone / Chroma\]\), so users could get grounded, source\-cited answers instead of searching manually\. \- Developed agentic AI workflows that chained LLM calls with tools/APIs to automate \[specific multi\-step task — e\.g\. lead qualification, report generation, data lookups\], reducing a manual process to a single trigger\. \- Integrated Generative AI via OpenAI and Anthropic Claude APIs, using few\-shot and chain\-of\-thought prompting to improve output accuracy and consistency for downstream use\. \- Designed Python backend services in FastAPI — 5\+ REST endpoints for serving ML models and LLM features — containerized with Docker and shipped through a GitHub Actions CI/CD pipeline\. \- Wrote advanced SQL and built Power BI dashboards for 5\+ leadership members, replacing manual spreadsheet reporting and saving \~3 hours weekly\. Tools: Python, FastAPI, Docker, GitHub Actions, OpenAI & Anthropic APIs, LangChain, \[vector DB\], SQL, Power BI\. Focus: Generative AI · RAG · Agentic AI · LLM integration · automation\.

Data Analyst at Kartik Infratown Private Limited, Jun 2025 \- Jul 2025 · 2 mos, Noida, Uttar Pradesh, India, Strategic Business Analysis: Spearheaded data\-driven decision\-making by analyzing market trends and customer demographics using SQL, Power BI, and Excel\. Automated Market Intelligence: Engineered a Python Web Scraping pipeline to automate lead generation, successfully identifying high\-potential customer segments and new growth opportunities\. Predictive Forecasting: Developed statistical models to predict future market trends, transforming raw data into a competitive advantage for the strategy team\.

Student Placement Coordinator \- jiit Training & Placement Cell at Jaypee Institute Of Information Technology, Apr 2024 \- Apr 2025 · 1 yr 1 mo, On\-site, Stakeholder Management: Served as the primary liaison between corporate recruiters and the student body, streamlining communication for placement drives\. Process Optimization: Coordinated end\-to\-end recruitment logistics \(tests, interviews, onboarding\), ensuring a seamless experience for visiting companies\. Data Management: Managed and organized student databases to ensure accurate eligibility tracking for recruitment processes\. Leadership: Led a team of student volunteers to execute large\-scale campus drives efficiently\.

Research Intern at Jaypee Institute Of Information Technology, May 2024 \- Jul 2024 · 3 mos, Noida, Uttar Pradesh, India, Product Research & Development: Collaborated on the "E\-Sports and Stress Management" project, designing inclusive gamified solutions for differently\-abled individuals\. Technical Implementation: Utilized Unity Engine to develop interactive simulations focused on stress reduction and cognitive engagement\. User\-Centric Design: Conducted research on accessibility standards to create tailored user experiences \(UX\) for the target demographic\. Outcomes: Successfully delivered a prototype that integrates wellness concepts with e\-sports technology\.

Volunteer at Creativity and Innovation Cell in Electronics, Oct 2023 \- Aug 2024 · 11 mos, Noida, Uttar Pradesh, India, Community Engagement: Orchestrated technical workshops and discussions to promote electronics and computer science concepts among peers\. Project Collaboration: Partnered with cross\-functional teams to deliver innovative electronics projects, enhancing technical knowledge within the community\. Event Management: Assisted in the logistics and execution of college\-level tech fests and innovation challenges\.

Campus Ambassador at 1Stop\.ai, Jun 2023 \- Aug 2023 · 3 mos, Market Strategy: Executed campus\-wide marketing strategies to increase brand awareness and student registration for 1Stop\.ai programs\. Lead Generation: Drove student engagement through targeted outreach campaigns, successfully meeting participation targets\. Communication: Acted as the brand face on campus, effectively communicating the company’s value proposition to a diverse student audience\.

## Education

Bachelor of Technology \- BTech, Computer Science, jaypee institute of information technology

Bachelor's degree, Computer Science, Bennett University

[View the original profile](https://tal.club/meet/kapil-10)

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