Gaurav Pooniwala

Co-Founder

United Kingdom9 yrs experience

Highly StableAI Enabled

Key Highlights

10+ years in AI engineering and production ML systems.
Led successful AI projects with significant funding and impact.
Expert in LLMs and agentic AI for real-world applications.

Stackforce AI infers this person is a Senior AI Engineer specializing in Generative AI and LLMs for SaaS and Media industries.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Large Language Model Operations (llmops)Technical LeadershipNatural Language Processing (nlp)Generative AiResearch And Development (r&d)Project Management

Other Skills

PythonLangChainFastAPIPydanticTemporalNextJSPostgresOpenAI / Anthropic APIsTechnical ConsultationEngineeringEntrepreneurshipManagementAmazon Web Services (AWS)Python (Programming Language)Product Development

About

Senior AI engineer with 10+ years of experience building and deploying production-grade ML and LLM systems. My work focuses on agentic AI, multi-step reasoning systems, and the infrastructure needed to make LLMs reliable in real-world settings - evaluation, observability, failure analysis, and system design under latency and accuracy constraints. I’ve built and shipped AI systems across both scaled environments and early-stage teams, including Rephrase AI (acquired by Adobe) and Samsung R&D. My experience spans hands-on model integration, backend systems, and end-to-end ownership of AI-powered products. I’ve also spent time as a founding/early engineer and EIR, which strengthened my bias toward execution and production readiness rather than research demos or ideation-heavy work. Currently seeking senior or staff-level AI engineering roles where I can operate as a hands-on IC on real production AI systems.

Experience

9 yrs

Total Experience

2 yrs 3 mos

Average Tenure

Current Experience

Antler

Entrepreneur in Residence

Oct 2025 – Dec 2025 · 2 mos · London Area, United Kingdom · On-site

Exploring the next generation of LLM agent infrastructure — tools that make it easier for teams to observe, debug, and iterate on AI agents as they run in production.
As part of the Antler London cohort, I’m validating this problem with engineering teams at AI-first startups and enterprises, researching how they handle:
Debugging unpredictable agent behavior
Comparing and evaluating LLM outputs
Improving models based on real-world feedback

Nexcade

Founding AI Engineer

Jun 2025 – Sep 2025 · 3 mos · London Area, United Kingdom · Hybrid

AI platform helping freight forwarders automate quotation workflows using large language models (LLMs).
Built the core AI framework that powered automatic quote generation — turning emails and documents into structured shipment data.
Developed specialized agents for reading RFQs, extracting shipment details, validating data, and preparing ready-to-send quotes.
Created a text-based rules system that let users describe pricing logic and best practices in natural language.
Improved reliability and consistency of AI outputs with schema validation, error recovery, and modular prompts.
Worked across backend and frontend systems to bring AI-powered workflows into production.
Tech Stack: Python, LangChain, LiteLLM, FastAPI, Pydantic, Temporal, NextJS, Postgres, OpenAI / Anthropic APIs

Artificial Intelligence (AI)Large Language Model Operations (LLMOps)

Kiro

Technical Lead

May 2024 – May 2025 · 1 yr · London Area, United Kingdom · Hybrid

Leading technical development of an enterprise RAG chatbot for financial coaching. Architected AI infrastructure including vector databases, embedding models, and retrieval algorithms. Implemented agentic workflows to enhance response accuracy, enabling £50k pre-seed funding.

Technical ConsultationNatural Language Processing (NLP)EngineeringEntrepreneurshipManagementTechnical Leadership+4

Rephrase ai (acquired by adobe)

2 roles

Technical Crisis Manager / Project Manager

Oct 2022 – Jul 2023 · 9 mos

Led end-to-end delivery of high-stakes AI video generation projects, managing cross-functional teams across engineering, research, and customer success.
Key Achievements:
Orchestrated teams of up to 10 members delivering AI-generated video campaigns worth $125K+
Managed technical execution of Cannes award-winning celebrity campaign garnering 94M+ views
Automated video generation pipeline reducing engineering involvement by 80%
Redesigned production workflows cutting project delivery times by 50%
Built scalable troubleshooting processes for enterprise client deliverables
Established technical quality standards for AI-generated content at scale

Problem SolvingNatural Language Processing (NLP)AnalyticsCollaborative Problem SolvingGenerative AIEngineering+3

Principal AI Engineer

May 2021 – Aug 2023 · 2 yrs 3 mos

Led research and development of state-of-the-art generative AI technologies for video synthesis and lip synchronization. Spearheaded 6-engineer team developing novel deep learning architectures and production ML systems.
Key Achievements:
Architected AI algorithms reducing inference costs by 75% and training data requirements by 66%
Integrated cutting-edge research in image inpainting, meta-learning, and video generation
Drove technical innovations contributing to company's $50M valuation and successful Adobe acquisition
Established technical mentorship programs and research seminars to boost team collaboration
Scaled ML infrastructure to handle enterprise-grade video generation demands

Product OperationsResearch and Development (R&D)Natural Language Processing (NLP)Generative AIEngineeringStatistical Modeling+2

Samsung electronics

3 roles

Technical AI Consultant

Promoted

Jan 2017 – Apr 2021 · 4 yrs 3 mos

Led AI strategy and implementation across 30+ technical departments, standardizing deep learning practices company-wide.
Key Achievements:
Established neural network optimization frameworks reducing costs by 80% across product lines
Guided technical teams in implementing efficient AI systems across mobile, TV, and IoT devices
Instituted company-wide best practices for model compression and deployment
Mentored research teams in transitioning advanced algorithms to production
Drove cross-functional collaboration between research and product teams

Natural Language Processing (NLP)AnalyticsGenerative AIEngineeringStatistical ModelingTeamwork

Research Engineer

Sep 2015 – Apr 2021 · 5 yrs 7 mos

Developed foundational computer vision algorithms and optimization techniques for Samsung's flagship products.
Key Achievements:
Led research initiatives reducing processing time by 50% in Samsung TVs
Pioneered memory optimization techniques cutting requirements by 50%
Developed novel compression methods reducing computation costs by 60%
Published internal research papers on efficient neural network architectures
Collaborated with hardware teams to optimize AI models for custom SoCs

Research and Development (R&D)Natural Language Processing (NLP)Generative AIEngineering

Research Intern

May 2014 – Jul 2014 · 2 mos · Suwon, Gyeonggi-do, Korea

Developed patentable algorithms for next-generation ATSC (Advanced Television Systems Committee) digital broadcasting standards.

Oxford brookes university

Full-time Associate Research Student

May 2013 – Jul 2013 · 2 mos · Oxford, United Kingdom

Developed real-time 3D reconstruction algorithms for breast tumor detection using Electrical Impedance Tomography, achieving 60x faster simulations (3 min to 3 sec) through novel discrete resistor modeling.

Indian institute of technology, bombay

Hostel 9 Alumni Secretary

Jun 2012 – May 2013 · 11 mos · Mumbai Area, India

Led alumni engagement initiatives including Phonathon campaigns (200+ alumni outreach) and hostel reunions, bridging student organizations with global alumni networks to facilitate collaborative events.