Shubham Sinha

AI Researcher

India1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building production-ready AI systems.
Proficient in integrating APIs for seamless workflows.
Strong background in mobile and web application development.

Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with expertise in mobile and web development.

Contact

Skills

Core Skills

Ai SystemsApi IntegrationVideo GenerationImage ProcessingVideo AutomationMobile DevelopmentUi DesignWeb DevelopmentFrontend EngineeringData AnalysisData Visualization

Other Skills

Fine TuningPatent/White PaperVideo ProcessingBlender PythonPythonReact NativeTailwind CSSReact.jsNext.jsNumPyLangChainGeminiStreamlitOpenxyglPostgreSQL

About

I’m an AI / ML Engineer focused on building AI systems that actually work in production. I’ve worked across ML, backend, and AI solution roles, building conversational AI, integrating LLMs with APIs and databases, and handling real-world edge cases and failures. I enjoy working close to product teams, debugging non-deterministic AI behavior, and turning messy requirements into usable AI features. Currently exploring roles where I can build and ship applied AI systems end-to-end.

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Daveai

3 roles

AI/ML Solution Architect

Promoted

Feb 2025 – Present · 1 yr 3 mos · Lexington, Massachusetts, United States · Remote

Designed and deployed enterprise-scale WhatsApp conversational AI systems handling pre- and post-sales workflows for automotive clients.
Integrated Airtel WhatsApp APIs for message routing, campaign triggers, and automated customer journeys.
Built AI-driven video generation pipelines including talking-head synthesis, lip-sync, masking, and avatar generation for internal and client-facing tools.
Developed backend APIs for real-time video synchronization and integration with dashboards and automation systems.
Improved lip-sync quality through model benchmarking (D-ID vs Retalk), fine-tuning, and MOS-based evaluation.
Collaborated with AI and product teams to align LLM capabilities with business requirements and production constraints.

Fine TuningPatent/White PaperAI SystemsAPI Integration

Machine Learning Engineer

Nov 2024 – Feb 2025 · 3 mos · Lexington, Massachusetts, United States · Remote

Developed Gryd pipelines for AI-driven video generation (talking-head synthesis, lip-sync improvement, face masking).
Implemented APIs for real-time video sync and internal tool integration.
Created clear documentation for pipeline setup, parameters, and runtime integration.
Automated video generation tasks using Gryd worker scripts for production pipelines.

Machine Learning Intern

Jul 2024 – Nov 2024 · 4 mos · Lexington, Massachusetts, United States · Remote

Contributed to avatar generation workflows via image processing and video overlay scripting.
Improved lip-sync accuracy through model fine-tuning and benchmarking (D-ID vs Retalk).
Generated embeddings, conducted MOS-based evaluation, and created scripts for video pipeline automation.

Blender PythonPythonImage ProcessingVideo Automation

Codeate

Mobile Application Developer

Nov 2023 – Apr 2024 · 5 mos · Hyderabad · Remote

Developed mobile application UIs using React Native, Tailwind CSS, and MUI, ensuring smooth user experience and consistent design.
Implemented frontend components, state management, and API integrations for production features.
Participated in the full app lifecycle — from UI design to testing and deployment.

React NativeTailwind CSSMobile DevelopmentUI Design

Zauvijek

Software Engineer

Feb 2023 – Apr 2023 · 2 mos · Patna, India · On-site

Designed and optimized responsive web interfaces using React.js and Next.js, improving usability and page load performance.
Built reusable frontend components following best practices for maintainability, accessibility, and cross-browser compatibility.

React.jsNext.jsWeb DevelopmentFrontend Engineering

Fintech and blockchain association (fab)

Data Science Intern

May 2022 – Aug 2022 · 3 mos · Cambridge, MA · Remote

Performed data cleaning, analysis, and visualization to support decision-making processes.
Developed Python scripts for dataset transformation and KPI reporting.

PythonNumPyData AnalysisData Visualization