Vivek Sarvaiya
@viveksarvaiya
AI Software Engineer building scalable backend and intelligent data pipelines that power M&A deal intelligence.
What I'm looking for
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
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.
AI / Software Engineer
Indago Research
Apr 2025 - Nov 2025 (7 months)
Contributed to backend development for an AI-powered M&A deal sourcing platform, supporting core system functionality. Built and maintained multi-source ingestion pipelines, integrated third-party APIs for enrichment workflows, and helped improve data processing efficiency and system reliability.
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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