Ashish Chauhan
I am Ashish Chauhan, an AI Engineer with over 6 years of experience developing production-grade AI systems using Python, with a strong focus on LLM-powered applications, agentic systems, and cloud-native AI…
About
I am Ashish Chauhan, an AI Engineer with over 6 years of experience developing production-grade AI systems using Python, with a strong focus on LLM-powered applications, agentic systems, and cloud-native AI architectures. I excel at building modular, testable backend services and scalable AI platforms. My strengths include prompt engineering, structured JSON outputs, grounding techniques, evaluation frameworks, and reliability practices aimed at reducing hallucinations and improving measurable system performance.
I enjoy designing end-to-end AI workflows, integrating RAG and knowledge grounding, and collaborating across product, data, and design teams to deliver impactful AI-enabled solutions.
- 11 years' experience
- Joined February 2026
Industry experience
- Software & Internet
- Professional Services
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Work experience
Built SnapGold using Python Flask and SQLAlchemy, creating MySQL schemas for users, authentication, transactions, and holdings; integrated real-time gold price APIs and implemented secure, idempotent transaction workflows. Developed SnapFund credit-lending backend with KYC, loan applications, credit checks, risk rules, multi-level approvals, and notifications. Deployed on AWS EC2 with secure configurations and backups; stored documents on S3 with IAM policies and encryption; delivered REST APIs with validation, versioning, rate limiting, and API documentation.
Maintained and updated Engineering Unit website infrastructure, ensured content accuracy and performance through optimization and security patches, and designed a digital workflow system for project construction approvals with multi-level routing, automated notifications, dashboards, and improved transparency (reduced approval time by ~40%).
Architected and implemented scalable RESTful APIs using FastAPI and asynchronous workflows, integrating open-source LLMs and embedding AI functionality into core business logic. Built serverless AI platforms on AWS (Lambda, API Gateway, Step Functions) with observability via CloudWatch and IAM-based security; exposure to Amazon Bedrock. Designed agentic workflows with planner/router patterns, tool-calling, and robust state management.
Education
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