Akshita Mittal
@akshitamittal
Senior Backend Engineer building scalable Java services, APIs, and distributed systems with measurable impact.
IndiaWhat I'm looking for
I’m a Senior Backend Engineer with experience designing, leading, and delivering scalable Java-based services, REST APIs, and distributed systems. At Visa, I architected and led end-to-end KYC automation, taking onboarding from manual queues to real-time processing while reducing analyst workload and churn risk through faster KYC turnarounds.
At Adobe, I built an agentic AI proof-of-concept using LangGraph/LangSmith and implemented a federated GraphQL subgraph with Reactive Java and Netflix DGS to cut latency and improve throughput. I also focus heavily on reliability and operational efficiency—owning on-call success, integrating Splunk and New Relic, and improving Jenkins-Kubernetes recovery—while driving performance wins through libraries, caching, and disciplined CI/CD.
Experience
Work history, roles, and key accomplishments
Architected and led an end-to-end straight-through KYC automation flow for low-risk first-time applications, targeting a shift from manual queue processing to real-time handling. Automated KYC refresh expiry/re-pick with Java/Spring Boot and MySQL, improving processing speed up to 1K accounts in 10 minutes and reducing analyst workload.
Built an agentic AI proof-of-concept to identify non-genuine product users, segment usage patterns, predict conversion likelihood, and automate personalized offer timing. Implemented a federated GraphQL subgraph using Reactive Java/Netflix DGS and delivered CI/CD with Argo on Kubernetes and Jenkins, reducing latency by 30% and improving throughput by 24%.
Owned on-call reliability for a critical service by integrating Splunk and New Relic alerts and designing a Jenkins-Kubernetes recovery job, reducing incident resolution from 1–2 hours to 10–15 minutes. Unified asset rendition workflows with multi-resolution PTIFF caching and implemented distributed-system resource update tracking with automated workflows, feature flags, and thorough testing for z
Developed a Java-based XML-to-JSON parser with visualization support to streamline analysts’ data transformation workflow and eliminate repetitive manual conversion steps.
Education
Degrees, certifications, and relevant coursework
Thapar Institute of Engineering and Technology
Bachelor of Engineering, Computer Engineering
2017 - 2021
Grade: CGPA: 9.43/10
Earned a B.E. in Computer Engineering, achieving a CGPA of 9.43/10.
Agarwal Vidya Vihar
Higher Secondary Certificate (CBSE), Higher Secondary Education
2016 - 2017
Grade: 94.8%
Completed the 10+2 (CBSE) program and secured 94.8%.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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