# Yash S.

> Full-Stack AI Engineer | Founding Engineer | Python, Typescript, RAG, Agentic AI | Building Scalable Systems

Location: San Francisco, California, United States
Profile: https://flows.cv/yashs

I build scalable ML infrastructure and production systems. 4 years shipping low-latency features that serve 250K+ users, working across the stack from model optimization to distributed backends.

At Expertrons, built recommendation engine handling high-traffic queries with sub-100ms p99 latency. At Filmic Technologies, architected full-stack platform (React/Next/NestJS) with focus on reliability and clean system design. 

I care about engineering fundamentals: writing testable code, designing maintainable systems, and building with observability from day one. Comfortable across the stack: backend services (Python/Node/Typescript), infrastructure (Docker/K8s/AWS), and frontend(React/Next.js) when needed.

Tech: Python, PyTorch, TensorFlow, React/Next.js, Postgres, Kafka, AWS/GCP, vector databases (pgvector/Pinecone), CI/CD

Looking for software engineering roles where I can work on large-scale systems, collaborate across orgs, and ship reliable products that impact millions of users.

ysandansing@gmail.com

## Work Experience
### Founding Software Engineer @ Filmic Technologies
Jan 2025 – Jan 2025 | United States
At Filmic Technologies, I contributed as a Software Engineer Intern (Founding), focusing on delivering MVPs and integrating payment systems. I led a team of interns to streamline our development processes, significantly reducing feature delivery time. My work included architecting a full-stack solution on AWS and creating a robust payment gateway, which enhanced our product's functionality and user experience.

### Founding AI Engineer @ Learno.AI
Jan 2023 – Jan 2024 | Delhi, India
At Learno.AI, I played a pivotal role in transforming research prototypes into a production-ready AI education tool. I spearheaded the development of a minimum viable product (MVP), significantly reduced hallucination rates in LLM responses, and created a backend service for efficient document retrieval. My contributions were crucial in ensuring a seamless user experience for early beta users.

### Machine Learning Engineer @ Signimus Technologies: Hiring PHP, MERN, Java, DotNet and other Dev
Jan 2022 – Jan 2023 | India
At Signimus Technologies, I focused on enhancing image processing capabilities through advanced machine learning techniques. My role involved fine-tuning computer-vision models and optimizing training pipelines, which resulted in significant improvements in segmentation accuracy and training efficiency. Additionally, I played a key role in scaling our compute infrastructure, ensuring a robust and scalable environment for our consumer-facing features.

### Software Engineer @ Expertrons
Jan 2021 – Jan 2022 | Mumbai, Maharashtra, India
Early product team building career/mentorship platform features. I contributed backend and ML components to improve personalization, media QA, and automation across the platform.

Responsibilities & Accomplishments:
• Personalized mentor matching by building a hybrid recommendation system for 250K active users.
• Cut QA manual hours by ~80% by developing image segmentation models to automatically enhance and validate user media.

• Optimized API response times by 90% (to <150 ms) by indexing key MongoDB collections used in user data retrieval.
• Implemented a multiprocessing pipeline in image and video segmentation APIs, resulting in parallel processing of media, achieving up to 5x speedup over the previous sequential implementation.


## Education
### Master's degree in Computer Science
University at Buffalo

### Bachelor of Engineering - BE in Information Technology
Vidyalankar Institute of Technology, Mumbai


## Contact & Social
- LinkedIn: https://linkedin.com/in/yash-san
- Portfolio: https://yashsan.me/
- GitHub: https://github.com/yashsandansing

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Source: https://flows.cv/yashs
JSON Resume: https://flows.cv/yashs/resume.json
Last updated: 2026-04-18