Vivek Sarvaiya

Full Stack Developer and AI/GenAI Engineer building production-grade web applications and LLM-powered backend systems. Skilled across the full stack — React, Next.js, Node.js, TypeScript, PostgreSQL — and modern AI engineering, including LLM integration, Retrieval-Augmented Generation (RAG), vector search, and agentic workflows. At Quralyst, built and shipped scalable backend systems and API orchestration layers spanning 5-10 external data sources, cutting manual research effort by 30-50%. Independently created and deployed multiple full-stack SaaS products end-to-end — authentication, billing, databases, and AI-powered features. Comfortable owning problems from architecture through deployment, and targeting Full Stack Developer / AI Engineer / Software Developer roles building production-grade, LLM-integrated web applications at scale.

1. Apr 2025 – Present

   Software Engineer

   Quralyst · Backed by Indago Research

   • Architected scalable, multi-tiered full-stack backend systems for an AI-powered M&A deal intelligence platform, orchestrating distributed data flows across ingestion, processing, and enrichment layers spanning 5–10 external data sources.
   • Built end-to-end data pipelines in Python to ingest, normalize, and process structured and unstructured data from 5+ external sources, improving processing speed and reliability across test, integration, and production environments.
   • Built an API orchestration layer connecting OpenAI and Apollo APIs to automate AI-driven data enrichment, cutting manual research effort by 30–50%.
   • Developed intelligent filtering and transformation logic to extract high-quality deal insights from large datasets, surfacing higher-signal insights for investment decision-making.
   • Collaborated cross-functionally with product and business stakeholders, participated in code reviews, and maintained clean, well-documented, production-grade code.
   • Monitored and supported data-processing systems across test, integration, and production environments within two-week Agile/Scrum sprints (planning, standups, retrospectives), resolving defects to sustain reliable performance across 5–10 external pipelines.

2. Nov 2024 – Feb 2025

   AI Engineer

   Freudia

   • Built an AI-powered chatbot delivering empathetic, contextually-aware conversations for users dealing with stress, anxiety, and everyday mental health challenges, using Large Language Models (LLMs).
   • Fine-tuned LLMs on domain-specific conversational data to improve response quality, tone, and emotional relevance.
   • Applied Retrieval-Augmented Generation (RAG) to ground responses in curated resources, reducing hallucination and improving factual reliability of sensitive advice.
   • Leveraged NLP techniques for sentiment analysis and intent detection, enabling the chatbot to adapt tone and response style based on user emotional state.

3. Feb 2025 – Mar 2025

   Intern

   Edunet Foundation

   • Built and evaluated multiple machine-learning models in Python and TensorFlow across real-world problem statements during a 2-month AI/ML and Green Skills internship, applying refined data-preprocessing techniques to improve model accuracy.
   • Refined data-preprocessing pipelines and collaborated with fellow interns to optimize model accuracy and computational efficiency.