---
title: "Akshit Sharma - Founder in Delhi | Tal"
description: "Meet Akshit Sharma, Engineering Leader | AI Leader | Global AI Systems Architect | Entrepreneur | AI Agent Architect | Empowering Tech Ideas based in Delhi. AI stack includes antigravity and cursor. Explore public work links including github."
image: "https://tal.club/meet/akshit-sharma-1/share-image"
---

# Akshit Sharma on Tal

## Headline

Engineering Leader \| AI Leader \| Global AI Systems Architect \| Entrepreneur \| AI Agent Architect \| Empowering Tech Ideas

## About

Steering the helm as a Technical Lead at Infinite Computer Solutions, my expertise in MLOps and Generative AI blossoms, crafting innovative solutions and driving efficiency\. My tenure at Smarten Spaces as a Data Scientist was marked by leading the GEN AI Initiatives, setting the stage for groundbreaking in\-house product advancements\. With a robust educational foundation in data science engineering and current studies at IIT Gandhinagar, I'm charting a course toward data\-driven excellence\. My vision is clear: to harness the power of data to forge transformative solutions, upholding a commitment to precision, innovation, and strategic impact\.

## Location

Delhi

## AI stack

antigravity

cursor

## Work experience

Founder at Stealth Startup, Jan 2026 \- Present · 8 mos

Generative AI \- Technical Lead at Infinite Computer Solutions, Dec 2024 \- Dec 2025 · 1 yr 1 mo, Delhi, India, Clients: Tata Play, Cignal TV, AkashGO Responsibility: Leading AI recommendation systems across three OTT platforms; manage 3 Data Science interns & 2 Data Engineers\. Learning: Advanced in collaborative filtering, two\-tower architectures, hybrid scoring, cold\-start handling, and large\-scale personalization\.\. Contribution: Delivered attribute\-based personalization and Because You Watch rails, generating 100M\+ daily recommendations\. Achievements: Increased CTR by 18%, reduced API latency by 40%, implemented zero\-downtime retraining pipelines\. Key Technical Optimizations: Redis caching, Aurora query tuning, parallelized training, 5\+ behavioral signals, S3 model versioning, Open AI\-powered metadata enrichment \(95%\+ fill rate\), Agentic AI workflows for automated monitoring & retraining

Data Scientist at Smarten Spaces, Apr 2024 \- Dec 2024 · 9 mos, Bengaluru, Karnataka, India, Led Gen AI vertical for space management — natural language to SQL conversion and seat recommendations\. Learning: RAG pipelines, LLM fine\-tuning \(LoRA/QLoRA\), model\-agnostic AI for OpenAI, Gemini, and open\-source LLMs\. Contribution: Built LLM\-agnostic RAG for SQL generation; fine\-tuned LLaMA 8B; developed seat recommendation model\. Achievements: Reduced analyst query dependency by 80%; secured commitments from 5 clients for on\-boarding\. AI Initiatives for in house products

Professional development at Career Break, Sep 2023 \- Feb 2024 · 6 mos, Delhi, I took a break to up\-skill myself in the field of Generative AI, Created many POC projects and wrote articles on Medium

Application Developer \- ML ops at TE Connectivity, Sep 2022 \- Aug 2023 · 1 yr, Gurugram, Haryana, India, I was responsible to set up data science unit & AWS SageMaker pipelines for TE Connectivity’s ICT division\. Learning:AWS MLOps workflows, predictive modeling, business dashboard integration\. Contribution: Built end\-to\-end SageMaker pipelines; developed product life cycle models reducing production costs; created freight analytics dashboards\. Achievements: Improved decision\-making efficiency; delivered measurable cost savings\. Key Technical Optimizations: Automated SageMaker deployments, Tableau integration for real\-time insights, optimized data ingestion workflows\.

## Education

Master's degree, Data Science For Decision Making, Indian Institute of Technology Gandhinagar

PGP DSE, data science engineering, Great Lakes Institute of Management Gurgaon

## Public links

- github: https://github\.com/Akshit6293

[View the original profile](https://tal.club/meet/akshit-sharma-1)

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