Nirvaan Lagishetty
@nirvaanlagishetty
Software engineer and applied AI specialist building production-grade AI SaaS.
What I'm looking for
I am a software engineer and applied AI specialist with hands-on experience designing, building, and shipping production-grade AI-powered SaaS platforms. As a founding/product engineer I have owned end-to-end delivery for live products like PilotMail, building scalable backend systems, integrating LLMs and RAG pipelines, and managing production deployments.
I have engineered data pipelines and analytics solutions that improved operational efficiency, integrated AI-driven features to reduce support load, and delivered conversational and database-driven NLP projects. I focus on pragmatic, production-ready design — from API and environment configuration to debugging, observability, and cost/latency tradeoffs — to ensure real-world product impact.
Experience
Work history, roles, and key accomplishments
Product Engineer & AI Developer
Makhija QuantumAI
Nov 2025 - Present (7 months)
Founding product engineer for PilotMail.in and additional AI products, owning end-to-end delivery from backend architecture to production debugging and deployments. Built Docker-based scalable services, integrated LLMs/embeddings and RAG features, and collaborated on infrastructure provisioning to achieve production readiness.
Data Analyst
NGMAsia Pacific
Oct 2024 - Oct 2025 (1 year)
Engineered Python and SQL data pipelines that streamlined processing by 40% and designed dashboards and lightweight AI automations that reduced support tickets by 30%. Analyzed operational datasets to identify bottlenecks and deliver actionable efficiency improvements.
Education
Degrees, certifications, and relevant coursework
Vidyalankar School of Information Technology
Bachelor of Science, Data Science
2022 - 2025
Grade: 8.0/10
Activities and societies: National Service Scheme (NSS) volunteer with 120+ hours; participated in community service, blood donation camps, and awareness programs.
Completed a Bachelor of Science in Data Science with a focus on applied machine learning, data engineering, and analytics; achieved a CGPA of 8.0/10.
Availability
Location
Authorized to work in
Website
nirvaan.devPortfolio
nirvaan.devSalary expectations
Job categories
Skills
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