Abhyudaya Srivastava
@abhyudayasrivastava
Senior software engineer building AI agent platforms and scalable backend systems for high-throughput production.
What I'm looking for
I’m a Senior Backend-Heavy Full Stack Developer & AI Systems Engineer with 6+ years of experience building scalable, high-performance distributed systems across Defense, FinTech, PropTech, and enterprise platforms. I focus on AI-powered product development, data pipelines, cloud-native architecture, and end-to-end delivery—especially where reliability and measurable outcomes matter.
At Synergy-ML, I designed and developed a multi-tenant AI agent SaaS platform with dynamic LLM-powered workflows, cutting manual workflow configuration effort by 70%. I also built the LLM billing/metering engine to intercept token usage and deliver accurate cost attribution with <1% billing error margin, plus Stripe-integrated wallet and reserved-cost logic for financial safety across concurrent users; I deployed the platform on Kubernetes with Helm and CI/CD, reducing deployment time by 60%. Earlier, I engineered data lake ETL pipelines handling 10,000+ records per cycle, built GPT-4-powered document processing to improve efficiency and cut manual review effort by 3x, and delivered dashboards tracking 50+ KPIs. I’ve led teams of 5+ engineers and delivered production systems with strong testing discipline—like >95% test coverage and zero critical incidents in FinTech—while meeting tight timelines across multiple timezones.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Synergy-ML
Dec 2021 - Present (4 years 5 months)
Built a multi-tenant AI agent orchestration SaaS on Kubernetes/Helm, reducing workflow configuration effort 70% and deployment time 60%. Implemented real-time LLM billing with <1% cost attribution error and integrated Stripe wallet payments with reserved-cost logic for multi-tenant run safety.
Senior Software Engineer
Tata Consultancy Services
Aug 2019 - Dec 2021 (2 years 4 months)
Designed and built 6+ domain-driven microservices (fraud detection, customer classification, risk workflows), reducing inter-service coupling 40%. Supported 24x7 high-volume financial transaction systems with >95% test coverage and zero critical production incidents.
Education
Degrees, certifications, and relevant coursework
SRM University
Bachelor of Technology, Computer Science Engineering
2015 - 2019
Earned a Bachelor of Technology in Computer Science Engineering at SRM University from 2015 to 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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