manas srivastava
@manassrivastava3
Software engineer building agentic, secure commerce and automation systems with scalable backend platforms.
IndiaWhat I'm looking for
I’m a Software Engineer who builds production-ready, AI-powered systems—pioneering Agentic Commerce with Google AP2 and OpenAI ACP in Python to architect a Multi-Agent Payment System that connects a Java Spring Boot backend to LLMs for secure, transparent conversational commerce.
I also lead engineering execution, integrating AI automation with custom MCP Servers and orchestrating high-impact migrations and platform features that improve reliability and performance. From open source work (Artie) to Flex Migration at Sumo Logic and RBI-guided server patching plus distributed job scheduling at Paytm, I focus on scalable architectures, robust testing, and measurable outcomes like lower MTTR and higher conversion.
Experience
Work history, roles, and key accomplishments
Pioneered agentic commerce by integrating Google AP2 and OpenAI ACP to build a multi-agent payment system connecting the Java Spring Boot backend to LLMs for secure, transparent conversational commerce. Architected AI automation that integrates PagerDuty, Splunk, and Slack to automate on-call reporting and proactively reduce MTTR.
Built backend capabilities for Sumo Query Language, including an autocomplete service and LLM-driven query assistance to reduce the learning curve for new users. Engineered an LLM recommendation/debugging pipeline and a LLaMA-based SQL query summarization system to streamline onboarding and complex query use.
Spearheaded the Flex Migration project introducing a Flex billing model based on log scans from Sumo Query Language, improving Jenkins billing operations and customer satisfaction. Designed zero-downtime customer migration workflows and implemented query operators to optimize FlexScan performance and accuracy.
Software Engineer
Paytm Payments Bank
Jan 2022 - Oct 2023 (1 year 9 months)
Developed a server patching tool aligned with Reserve Bank of India guidelines, enabling automated updates with graceful reboot and zero downtime; successfully patched 500+ servers in a single day with 100% accuracy. Designed a distributed job scheduler using Kafka and Redis and helped set up Kubernetes clusters (200+ Linux servers) with ArgoCD, Hashicorp Vault, and Prometheus/Grafana monitoring.
Education
Degrees, certifications, and relevant coursework
Inderprastha Engineering College
Bachelor of Technology, Computer Science
2018 - 2022
Grade: 7.9
Completed a Bachelor of Technology in Computer Science, graduating with a 7.9 (grade/CGPA).
CBSE 12th
CBSE 12th, Physics, Chemistry, Mathematics, Computer Science
Grade: 7.8
Completed CBSE 12th with a 7.8 score in Physics, Chemistry, Mathematics, and Computer Science.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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