Srikantha M L profile photo 1 on Tal

Srikantha M L

SDE-2 @ Deutsche Bank | RVCE ’23 | 700+ DSA problems solved on Leetcode | Java, Python, SpringBoot, Kafka, MySQL, React | Distributed Systems

Bengaluru

4+ years of work experience

Deutsche Bank
Feb 20268 mosPresent

Bengaluru

Core contributor on a reactive transaction-transformation platform replacing a 25-year-old legacy system; the platform processes ~1M transactions/day across global markets with sub-3-second SLAs. Own 3 services end-to-end — design, implementation, review, rollout. Cut hot-path latency by 60% (to sub-3s end-to-end) on a Spring WebFlux service chosen for I/O-heavy DB-bound workloads: profiled QueryDSL-generated SQL, added composite indexes, rewrote N+1 access patterns, and fronted hot business-rule lookups with Hazelcast distributed cache. Built Kafka consumer resiliency: implemented idempotency-key-based deduplication to guard against at-least-once redelivery for critical booking flows, and introduced a Dead Letter Queue pattern after a poison-pill incident, preventing consumer-group stalls. Led WebSSO → CIDP auth migration for a production service — replacing cookie-based SSO with JWT-based token auth ahead of WebSSO decommissioning; cut login failures by 25% and eliminated a hard deprecation risk. Designed SLO observability with Spring AOP + Splunk: instrumented per-endpoint API latency at the aspect layer, built dashboards tracking p95/p99 against SLAs, and wired email alerts for SLO breach.
Deutsche Bank
Oct 20241 yr 5 mosFeb 2026

Bengaluru, Karnataka, India

Deutsche Bank
Jul 20231 yr 4 mosOct 2024

Bengaluru, Karnataka, India

National Remote Sensing Centre, ISRO
Sep 20214 mosDec 2021

Bengaluru, Karnataka, India

Working with scientists from RRSC to classify the vegetation and other features of the Kolar region in Karnataka using semantic segmentation (UNET architecture) and utilizing the results for surveying and analytics achieving an accuracy of 87% using 16-bit multi-spectral images and 84% using 8-bit RGB images.
Samsung R&D Institute India
Jun 20219 mosFeb 2022

Bengaluru, Karnataka, India

Developed a CNN-based classifier model that can predict the best intra-partitions of a video frame (which was previously done by video codecs using brute force consuming 97% of processing time) to decrease the time for encoding. Worked mainly on creating a cost dataset based on cost of different types of splits and trained a neural network
GitHub
@Srikantha2001
LeetCode
@Sri2001

Srikantha’s AI Stack

claude code
claude code
gemini
gemini
github copilot
github copilot
obsidian
obsidian
opencode
opencode
Wispr Flow
Wispr Flow

Education

RV College of Engineering

Bachelor of Engineering - BE, Computer Science

RV College of Engineering

20194 yrs2023

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Srikantha M L on Tal

Headline

SDE-2 @ Deutsche Bank | RVCE ’23 | 700+ DSA problems solved on Leetcode | Java, Python, SpringBoot, Kafka, MySQL, React | Distributed Systems

About

Backend engineer with 3+ years building low-latency, event-driven systems in a regulated, high-throughput financial environment. Hands-on with Java, Spring WebFlux, Kafka, and distributed caching; comfortable reasoning about message-delivery semantics, idempotency, and service resiliency.

Location

Bengaluru

AI stack

claude code

gemini

github copilot

obsidian

opencode

Wispr Flow

Work experience

Associate (SDE-2) at Deutsche Bank, Feb 2026 - Present · 8 mos, Bengaluru, Core contributor on a reactive transaction-transformation platform replacing a 25-year-old legacy system; the platform processes ~1M transactions/day across global markets with sub-3-second SLAs. Own 3 services end-to-end — design, implementation, review, rollout. Cut hot-path latency by 60% (to sub-3s end-to-end) on a Spring WebFlux service chosen for I/O-heavy DB-bound workloads: profiled QueryDSL-generated SQL, added composite indexes, rewrote N+1 access patterns, and fronted hot business-rule lookups with Hazelcast distributed cache. Built Kafka consumer resiliency: implemented idempotency-key-based deduplication to guard against at-least-once redelivery for critical booking flows, and introduced a Dead Letter Queue pattern after a poison-pill incident, preventing consumer-group stalls. Led WebSSO → CIDP auth migration for a production service — replacing cookie-based SSO with JWT-based token auth ahead of WebSSO decommissioning; cut login failures by 25% and eliminated a hard deprecation risk. Designed SLO observability with Spring AOP + Splunk: instrumented per-endpoint API latency at the aspect layer, built dashboards tracking p95/p99 against SLAs, and wired email alerts for SLO breach.

Software Development Engineer ( Senior Analyst) at Deutsche Bank, Oct 2024 - Feb 2026 · 1 yr 5 mos, Bengaluru, Karnataka, India

Graduate Analyst at Deutsche Bank, Jul 2023 - Oct 2024 · 1 yr 4 mos, Bengaluru, Karnataka, India

Research Intern at National Remote Sensing Centre, ISRO, Sep 2021 - Dec 2021 · 4 mos, Bengaluru, Karnataka, India, Working with scientists from RRSC to classify the vegetation and other features of the Kolar region in Karnataka using semantic segmentation (UNET architecture) and utilizing the results for surveying and analytics achieving an accuracy of 87% using 16-bit multi-spectral images and 84% using 8-bit RGB images.

Software Intern at Samsung R&D Institute India, Jun 2021 - Feb 2022 · 9 mos, Bengaluru, Karnataka, India, Developed a CNN-based classifier model that can predict the best intra-partitions of a video frame (which was previously done by video codecs using brute force consuming 97% of processing time) to decrease the time for encoding. Worked mainly on creating a cost dataset based on cost of different types of splits and trained a neural network

Education

Bachelor of Engineering - BE, Computer Science, RV College of Engineering

Public links

github: https://github.com/Srikantha2001

leetcode: https://leetcode.com/Sri2001