# Sahil Padyal

> Software & AI & Database | AWS

Location: United States, United States
Profile: https://flows.cv/sahilpadyal

Software Engineer specializing in AI with 5 years of hands-on experience developing scalable systems for LLM finetuning, generative AI, RAG pipelines, and cloud-native backends. Demonstrated success in building AI agents, chatbots, and domain-specific models using Python, Java, LangChain, and Hugging Face Transformers, with deployments on AWS (SageMaker, Lambda) and GCP (Vertex AI). Proficient in designing microservices, REST/GraphQL APIs, distributed systems, and CI/CD pipelines with Docker and Kubernetes. Strong background in prompt engineering, NLP, 3D optimization tools, and Agile/Scrum practices.

## Work Experience
### Software Engineer @ Mastercard
Jan 2025 – Present | United States

### Software Engineer Backend @ Humanitarians AI
Jan 2025 – Jan 2025 | Boston, Massachusetts, United States
At Humanitarian AI, I helped build a no-code platform to fine-tune open-source LLMs from Hugging Face. I worked on pipelines to fine-tune models like Llama 3 and DeepSeek using Unsloth PEFT (LoRA/QLoRA), automated dataset processing with Airflow and Snowflake, and implemented a RAG module using Gretel, Pinecone, and Neo4j. I also designed secure deployments with MLflow + AWS SageMaker and built backend services, integrating Lambda, API Gateway, and Cognito for access and metadata management.

### Software Engineer AI @ Matrix Rental Solutions
Jan 2023 – Jan 2023 | Boston, Massachusetts, United States
Engineered a context-aware AI agent chatbot using LangChain and PaLM-2 LLM on GCP Vertex AI, integrating advanced reasoning, memory, and tool orchestration to enable dynamic interactions and boost user engagement by 40%. Improved retrieval accuracy by 60% with a robust RAG pipeline using Pinecone Vector DB, and implemented evaluation/monitoring with Ragas and LangSmith for automated debugging and iterative improvements. Built a scalable backend with FastAPI, a React/TypeScript frontend, and secure inference using Guardrails API, while accelerating deployment by 40% through enhanced CI/CD workflows with Docker and Cloud Build. Leveraged Looker for data mining and insights on customer behavior.

Key Skills: GCP, LangChain, PaLM-2, ReactJS, TypeScript, Python, FastAPI, RAG, Vertex AI, Looker

### Postgres Database Engineer @ Convrse.ai
Jan 2019 – Jan 2022 | India
Engineered and scaled high-availability Postgres RDS clusters powering a distributed 3D optimization platform with 100k+ daily users.

Improved system performance by 25% through schema design, indexing, and advanced query tuning while supporting replication, failover, and DR workflows.

Led production on-call, migrations, upgrades, and security hardening, ensuring reliability, compliance, and seamless business continuity.

### Postgres Database Engineer @ BluetickVR
Jan 2018 – Jan 2019 | India
Supported the design, optimization, and maintenance of PostgreSQL databases for a scalable 3D SaaS inventory platform.

Improved performance through optimized SQL queries, indexing, schema tuning, and deep analysis of query plans.

Handled production troubleshooting, backups, and recovery (pg_dump, pgBackRest, RDS snapshots) to ensure data safety and high availability.


## Education
### Master's degree in Management Information Systems, General
Northeastern University

### Intern in Digital Image Processing
Ngee Ann Polytechnic


## Contact & Social
- LinkedIn: https://linkedin.com/in/sahil-padyal
- Portfolio: https://sahilpadyal.com/

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Source: https://flows.cv/sahilpadyal
JSON Resume: https://flows.cv/sahilpadyal/resume.json
Last updated: 2026-03-28