Ayush Tiwari

Lead ML Engineer

Bengaluru, Karnataka, India1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led LLM projects for top clients like Apple and Google.
Expertise in NLP and multimodal AI solutions.
Strong foundation in AI & ML engineering.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI and Machine Learning solutions.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Large Language Models (llm)Python (programming Language)Backend Development

Other Skills

Generative AINatural Language Processing (NLP)JavaJavaScriptSQLAPIsDocumentationDeep LearningData ScienceRetrieval-Augmented Generation (RAG)React.jsNode.jsMongoDBMySQLFlask

About

I’m a Python Engineer at Turing, where I’ve worked on Generative AI and LLM projects for clients like Apple and Google. My expertise spans NLP, multimodal AI, and ML pipelines, along with building scalable full-stack apps using the MERN stack. With a strong foundation in AI & ML engineering and hands-on product experience, I’m passionate about creating solutions that merge advanced AI with practical software development.

Experience

1 yr 10 mos

Total Experience

1 yr

Average Tenure

9 mos

Current Experience

Singularity research

AI Software Engineer

Sep 2025 – Present · 9 mos · Remote

As an AI Software Engineer at the Singularity Research Program, I work on developing and experimenting with next-generation artificial intelligence systems that bridge research and real-world applications. My responsibilities focus on advancing applied machine learning and deep learning models to enhance AI performance, reliability, and interpretability.
🔬 Key Responsibilities:
Conduct experimental research on advanced architectures in LLMs, vision models, and reinforcement learning systems.
Build and fine-tune custom neural networks for real-world problem-solving across multiple domains.
Explore AI alignment, model safety, and ethical deployment principles in AI-driven applications.
Collaborate with researchers and engineers from top institutions and global R&D communities.
Present findings, maintain internal research documentation, and contribute to open innovation efforts.

Python (Programming Language)Machine LearningArtificial Intelligence (AI)

Turing

Python Engineer

Aug 2024 – Sep 2025 · 1 yr 1 mo · Remote

Client: Apple
Led a team of 6 engineers across Python, Java, JavaScript, and SQL, driving end-to-end LLM development and deployment.
Trained and optimized multimodal LLMs (vision and text) to enhance contextual understanding and user interactions.
Designed adversarial prompt engineering and validation pipelines to improve model robustness and reliability.
Developed and deployed Supervised Fine-Tuning (SFT) datasets and tasks, including audio-based training workflows.
Evaluated RLHF and SFT outputs, improving model alignment, accuracy, and response quality.
Collaborated with cross-functional teams to deliver high-quality AI solutions within project timelines.
Ensured code quality, performance optimization, and adherence to engineering best practices.
Client: Google
Designed and developed mock APIs simulating real-world service endpoints for LLM training and evaluation.
Built scalable workflows enabling AI models to interact with production-like APIs and backend systems.
Implemented structured backend logic to improve model reasoning and tool-calling capabilities.
Enhanced API integration testing processes, ensuring reliability and consistency across training environments.
Contributed to the development of realistic simulation environments for advanced AI model training.