Akshit Sharma profile photo 1 on Tal

Akshit Sharma

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

Delhi

3+ years of work experience

Stealth Startup
Jan 20268 mosPresent

Infinite Computer Solutions
Dec 20241 yr 1 moDec 2025

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
Smarten Spaces
Apr 20249 mosDec 2024

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
Career Break
Sep 20236 mosFeb 2024

Delhi

I took a break to up-skill myself in the field of Generative AI, Created many POC projects and wrote articles on Medium
TE Connectivity
Sep 20221 yrAug 2023

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.
GitHub
@Akshit6293

Akshit’s AI Stack

antigravity
antigravity
cursor
cursor

Education

Indian Institute of Technology Gandhinagar

Master's degree, Data Science For Decision Making

Indian Institute of Technology Gandhinagar

Great Lakes Institute of Management Gurgaon

PGP DSE, data science engineering

Great Lakes Institute of Management Gurgaon

Join Akshit and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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

Akshit Sharma - Founder in Delhi | Tal