Skip to main content
Vivek SarvaiyaVS
Open to opportunities

Vivek Sarvaiya

@viveksarvaiya

AI Software Engineer building scalable backend and intelligent data pipelines that power M&A deal intelligence.

India
Message

What I'm looking for

I’m looking for a team where I can build AI-powered data platforms and automation services—owning backend systems, API orchestration, and reliable pipelines—while shipping real-world value and growing as an engineer.

I’m an AI Software Engineer focused on building scalable backend architectures and intelligent data pipelines. I build systems that reduce manual effort through automated enrichment, filtering, and workflow orchestration—delivering real-world impact for teams that rely on timely insights.

In my current role at Quralyst, I designed and developed backend systems for an AI-powered M&A deal sourcing platform used by investment teams. I built data pipelines to ingest, process, and normalize multi-source structured and unstructured data, and implemented an API orchestration layer in Python integrating external services like OpenAI and Apollo.

Previously at Indago Research and Freudia, I contributed to core platform backend development and built an LLM-powered chatbot prototype using LangChain and Hugging Face. Across projects and prototypes, I’ve emphasized reliability, scalability, and end-to-end automation—turning messy, multi-source inputs into structured records and actionable deal intelligence.

Experience

Work history, roles, and key accomplishments

QU
Current

Software Engineer

Quralyst

Dec 2025 - Present (6 months)

Designed and developed scalable backend systems for an AI-powered M&A deal sourcing platform used by investment teams. Built multi-source data ingestion and normalization pipelines, implemented Python API orchestration with OpenAI and Apollo for automated enrichment, and automated data workflows to reduce manual research effort.

FR

AI Engineer

Freudia

Nov 2024 - Feb 2025 (3 months)

Designed and implemented an LLM-powered chatbot prototype using LangChain and Hugging Face pipelines, improving conversational response accuracy by 30%. Delivered a working mental health chatbot prototype using NLP pipelines and Hugging Face models.

Education

Degrees, certifications, and relevant coursework

AI

AIGS

Bachelor of Computer Applications, Computer Applications

2022 - 2025

Grade: 8.9 CGPA and 9.5 SGPA

Pursued a Bachelor of Computer Applications (BCA) at AIGS, completing the program with a grade of 8.9 CGPA and 9.5 SGPA.

Find your dream job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan