Amulya Varshney
Build AI Solutions with Intuit Engineer | Expert in Programming and AI
Studied at International Institute of Information Technology, Naya Raipur
Works at Intuit
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Amulya's Offerings
Custom hourly · $120/hr
Get help with AI Agents, AI Automation, and .
Amulya’s Build with AI Qualifications
Coaches professionally
Experience level: Associate
60+ people coached for Build with AI
Welcome to my profile! As a Senior Software Engineer at Intuit, I have led the design and development of cutting-edge AI solutions, including a Payroll Intelligence Agent and a LangGraph-based orchestration workflow. My expertise in AI Agents, Generative AI, and advanced system optimization has equipped me with the skills to help others harness the power of AI in their projects. With a strong academic background from the International Institute of Information Technology and Stanford Continuing Studies, I have mentored 62 individuals, guiding them to successfully integrate AI into their work. Whether you're looking to build AI-driven applications or optimize existing systems, I'm here to help you achieve your goals. Let's connect and explore how we can bring your AI projects to life!
Amulya can help with:
AI Agents
AI Automation
AI Fundamentals
AI Tools & Integration
Prompt Engineering
Work Experience
Software Engineer
Intuit
May 2025 - Present
Interviewer
◦ Led design and development of a Payroll Intelligence Agent using Multi Agentic System, embedding strategies, and evaluation loops, integrated Langfuse-based tracing and observability to monitor prompt performance, tool usage, and response quality. ◦ Architected a LangGraph based orchestration workflow integrating tool-calling, skill routing, guardrails, along with a RAG powered knowledge base to deliver accurate, grounded, context-aware resolution of payroll-specific queries within QuickBooks. ◦ Improved system performance and resilience through advanced caching strategies, database query optimization, and zero-downtime online migrations, ensuring high availability for payroll-critical workflows. ◦ Enabled robust AI workflow validation by executing and automating single-turn query testing across routing, orchestration, and response generation layers, ensuring production-grade reliability and correctness.
Software Development Engineer
Razorpay
August 2024 - May 2025
Interviewer
◦ Developed ”Ray”, an AI-powered fintech concierge using LLMs, Langgraph and intelligent conversational workflows using Python and FastAPI, automating 70% of merchant support tickets and reducing response time from hours to seconds. ◦ Built an AI evaluation engine in Golang with automated prompt testing, response quality metrics & continuous model refinement pipelines, improving AI response accuracy by 40%, ensuring regulatory compliance for financial communications. ◦ Implemented multi-agentic ticket resolution system with intelligent orchestration, context-aware processing, and dynamic priority scoring, enabling automated query resolution through coordinated agent workflows for continuous answer refinement.
Software Engineer
ZEISS
January 2023 - August 2024
Interviewer
◦ Developed secure REST APIs using Java & Spring, with role-based authentication to enhance security for internal systems. ◦ Implemented a real-time gRPC notification service for critical virus threat alerts, system updates and settings modification, enabling alert propagation across distributed security infrastructure and improving incident response time by 60%. ◦ Enhanced PRIUS module using C# & ASP.NET with enterprise design patterns, delivering scalable configuration management system supporting 1000+ concurrent users with modular architecture for future extensibility. ◦ Built dynamic React component library with TypeScript integration for cross-functional teams, creating reusable UI components for standardized user experience across multiple internal applications and workflows.
Amulya was also given offers to work at
Amazon
Zeta US
Education
International Institute of Information Technology, Naya Raipur
Bachelor of Technology - BTech, Computer Science and Engineering
2019 - 2023
Grade: 9.23/10.00 Activities and societies: ◦ Core Member of TSoC (The Society of Coders): Collaborated on coding events, mentoring peers, and fostering a culture of programming excellence. ◦ Program and Events Head at E-Cell and Innovation Cell: Led planning and execution of workshops, hackathons, and entrepreneurship events, promoting innovation and startup culture. ◦ Core Member of ComEt (Community of Electronics): Contributed to technical projects, events, and community initiatives within the electronics engineering domain. ◦ First Rank Holder in the Department with a CGPA of 9.64 during the academic session 2019-2020. Object-Oriented Programming (OOP), Database Management System (DBMS), Data Structures and Algorithms, Generative AI, AI Agents (LLM, RAG)
Stanford Continuing Studies
Agentic AI in Action: From Concepts to Real-World Impact