Ashish Kumar
@ashishkumar36
Backend-focused SDE-2 building agentic AI microservices, real-time pipelines, and scalable search.
What I'm looking for
I’m a backend-focused SDE-2 with 7+ years of experience building scalable systems at Swiggy and interface.ai, plus startup environments. I specialize in Agentic AI and GenAI/LLM-powered microservices that reliably perform in production, not just demos.
At interface.ai, I architected an agentic bug-resolution workflow integrating MCP with Jira, GitHub, Grafana, and PostgreSQL—cutting average resolution time by ~40%. I also built user-facing automation like a chat-session nudge system that improved engagement and conversion for banking clients.
At Swiggy, I delivered GPT-4o + ASR voice summarization, production search infrastructure with SQS/Elasticsearch/Algolia, and major backend reliability work. I implemented a cancellation reversal API that recovered 14 Crore in revenue and regained 75K users, and I’ve helped strengthen security, compliance-minded data purge, and platform stability across multiple products.
Experience
Work history, roles, and key accomplishments
Architected an agentic AI automated bug-resolution system integrating MCP with Jira, GitHub, Grafana, and PostgreSQL, reducing average resolution time by ~40%. Engineered chat-session nudges and stabilized money transfer/balance-check workflows, fixing 50+ production bugs for banking clients within 60 days.
SDE-2 (Backend, GenAI)
Swiggy
Aug 2022 - Aug 2025 (3 years)
Built production GenAI pipeline for voice call summarization at Pyng (GPT-4o + ASR), increasing customer engagement by 30%, and designed real-time search infrastructure using SQS, Elasticsearch, and Algolia for 10K+ daily queries. Delivered major product and monetization improvements, including Minis 2.0 backend enhancements and a bulk cancellation reversal API that recovered 14 Crore in revenue a
Software Engineer-1
CreditVidya
Jul 2021 - Jul 2022 (1 year)
Integrated Finbit Fraud API to securely store and analyze bank statements in S3, automating a manual pipeline and contributing 2–3 Crore in annual cost savings. Built onboarding APIs for the Niyo tenant (reducing drop-off) and refactored APIs for the Xiaomi tenant, improving response times by 30%.
Integrated Google RBM with the MAAP platform to enable two-way RCS bot messaging for three telecom carriers. Implemented secure login (2FA, session/token expiry, role-based approvals, auto-blocking) and delivered RCS messaging capabilities including delivery tracking, spam reporting, anonymization, and throttling.
Education
Degrees, certifications, and relevant coursework
School of Engineering, CUSAT
Bachelor of Technology, Computer Science and Engineering
2014 - 2018
Grade: CGPA: 7.41/10
B.Tech in Computer Science and Engineering at CUSAT (2014–2018), graduating with a CGPA of 7.41/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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