Quant SWE / Trading Systems / Low-Latency Backend Engineer

Dinesh H Suthar

I build fast backend systems, trading-style infrastructure, and solve hard algorithmic problems.

Computer Science Engineering student from Bengaluru focused on Java, Spring Boot, distributed systems, low-latency thinking, clean APIs, and competitive programming.

Codeforces Expert857+ LeetCode solvedJava-first problem solverBackend / Infra / Quant SWE

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Codeforces

Expert

LeetCode

857+ solved

Hard Problems

142+

Active Days

356

Core Stack

Java / Spring Boot / Redis / PostgreSQL

Focus

Backend + low-latency systems

Proof of work

Competitive programming is my implementation gym.

Fast problem solving is not a side quest here. It is daily practice for edge cases, invariants, and getting clean code correct under pressure.

LeetCode

dinesh_12334

Contest rating: 1662

Problems solved

857+

Easy

236+

Medium

479+

Hard

142+

Top

16.81%

Badges

Recent badge

500 Days Badge

Submissions / year

850

Easy236+

Medium479+

Hard142+

Binary Search on AnswerPrefix Sum / HashMapGraphsDynamic ProgrammingGreedyHeapsSegment Tree / Fenwick TreeMonotonic StackTrees / TriesBit Manipulation

Codeforces

Expert

Dinesh_1107: 1676

Current rating

1676

Max rating

1687

Rank

Expert

Handle

Dinesh_1107

Contribution

rating trend mock based on current/max rating

Implementation-heavy contestsGreedy constructionsGraph traversalData structuresNumber theory basicsGame Theory basics

Problem solving focus

Binary Search on AnswerPrefix Sum / HashMapGraphsDynamic ProgrammingGreedyHeapsSegment Tree / Fenwick TreeMonotonic StackTrees / TriesBit ManipulationGame Theory basicsImplementation-heavy Codeforces problems

CP philosophy

I use competitive programming as daily deliberate practice for algorithmic speed, edge-case discipline, and implementation accuracy.

Experience

Performance work, not resume filler.

Internship work is framed around throughput, rate limiting, contention reduction, benchmarks, and CI regression checks.

Virtual / Jun 2025 - Mar 2026

Backend & Performance Engineering Intern

Samsung PRISM

Certificate

Automated Professor Profile Management and Knowledge Graph Construction using GenAI

Improved backend throughput by 40% after profiling memory hotspots and refactoring the NLP enrichment service caching layer.
Implemented token-bucket rate limiting for a bursty ingestion pipeline handling 10,000+ daily profiles while supporting 99.9% availability under load.
Reduced thread contention and integrated JMH benchmark regression suites with JUnit tests into CI to catch performance regressions before release.

Featured engineering work

Projects with architecture, constraints, and tradeoffs.

The featured work is backend-heavy by design: payments, verification systems, low-latency services, AI infrastructure, production web platforms, and RAG.

Distributed Payments

Nexus RTP - Distributed Payment System

Distributed payment backend focused on correctness, latency, idempotency, serializable transactions, and reliable event delivery.

Engineering case study

API

Shard Router

Ledger

Outbox

Kafka

P99 latency

140ms

from 1500ms after sharding

Isolation

Serializable

CockroachDB transactions

Ledger

Double-entry

immutable transaction records

Architecture

Go services coordinate CockroachDB SERIALIZABLE transactions, Redis-backed coordination paths, Kafka event delivery, and Prometheus instrumentation.

Engineering highlights

Reduced P99 latency from 1500ms to 140ms by eliminating hot-row contention through account sharding under SERIALIZABLE isolation.
Designed a double-entry immutable ledger with idempotent UETR transactions, retry safety, and balance consistency checks.
Implemented Kafka outbox / CDC flow for crash-safe event delivery, duplicate handling, retries, and reliable asynchronous workflows.

GoCockroachDBKafkaRedisPrometheus

GitHub

Backend Performance

High-Performance Supply Chain Platform

High-throughput product authentication and verification backend.

Benchmarked backend

Verify API

Redis

Kafka

Metrics

Throughput

7,152 RPS

benchmarked under load

P99

12.84ms

backend verification path

Cache hit rate

99.8%

200k cached entries

Architecture

Spring Boot services expose idempotent REST APIs, use Redis for high-hit-rate verification caching, Kafka for evented workflows, and Prometheus/Grafana for visibility.

Engineering highlights

Benchmarked backend under high concurrency, reaching 7,152 RPS at 12.84ms P99.
Used lock-free request handling, idempotent REST APIs, Redis caching, and targeted profiling.
Maintained 99.8% cache hit rate over 200k cached entries.

JavaSpring BootKafkaRedisKubernetesPrometheus / Grafana

GitHub Demo

Low-Latency Backend

High-Performance URL Shortener

Low-latency backend systems project with Redis, PostgreSQL, event ingestion, analytics, rate limiting, observability, and load testing.

Demo available

Redirect API

Redis

Postgres

Events

Analytics

Architecture

Spring Boot APIs combine PostgreSQL persistence, Redis caching, Kafka-style event ingestion, Docker Compose services, and observability hooks.

Engineering highlights

Designed redirect paths around Redis caching and PostgreSQL-backed persistence.
Added rate limiting, analytics event ingestion, and p95/p99 latency tracking hooks.
Included cache stampede protection and load-testing workflow for backend validation.

JavaSpring BootRedisPostgreSQLRedpanda / Kafka-style ingestionPrometheusGrafanaDocker Composek6

GitHub Demo

AI Infrastructure

Autonomous CI/CD Healing Agent - RIFT

Multi-agent CI/CD debugging and healing system.

Demo available

CI Logs

Agents

Sandbox

Patch

Review

Retry loop

5 iterations

bounded healing attempts

Execution

Docker

sandboxed pytest runs

Streaming

SSE

real-time progress

Architecture

LangGraph state machines coordinate agents, Node.js services stream progress through SSE, Docker sandboxes pytest execution, and Groq powers patch suggestions.

Engineering highlights

AIML Track Finalist - RIFT 2026.
Built a multi-agent system that detects and heals CI/CD failures using LangGraph state machines.
Supports up to 5 retry iterations.

LangGraphNode.jsReactDockerGroq

GitHub Demo

Production Web Platform

A S INTERIORS - Premium Factory Website

Premium multilingual production website for my brother's modular furniture and interiors factory.

Live production site

Next.js

Locales

SEO

Schema

Leads

Architecture

Next.js routes serve English, Hindi, and Kannada content with Tailwind UI, schema, sitemap, robots, and WhatsApp/contact conversion paths.

Engineering highlights

Built for a real modular interiors and factory-based furniture manufacturing business.
Implemented multilingual routes for English, Hindi, and Kannada.
Added local SEO, schema, sitemap, robots, and WhatsApp/contact lead flow.

Next.jsTypeScriptTailwind CSSSEOSchemaSitemap

GitHub Demo English Route

AI Infrastructure

Policy Q&A RAG Service

Document intelligence service for grounded question answering over large policy documents.

Research prototype

PDF

Chunks

Vectors

Retriever

Answer

Architecture

FastAPI services handle ingestion, chunking, vector search, and answer orchestration, with a Next.js interface for exploration.

Engineering highlights

Built document ingestion, chunking, vector search, and grounded Q&A flows.
Focused the interface on source-backed answers instead of open-ended chatbot behavior.
Structured the service around reusable ingestion and query endpoints.

Next.jsTypeScriptFastAPILangChainGroqVector Search

GitHub

Systems

Systems I like building.

The common thread is reliable backend work: correctness at the data layer, fast APIs, observable behavior, and measured performance.

Low-latency services

Hot-path APIs, cache-aware reads, latency budgets, and fast failure behavior.

Caching and rate limiting

Redis-backed read paths, token buckets, cache eviction, and stampede protection.

Distributed backends

Idempotent writes, retry safety, outbox flows, event delivery, and durable state.

Observability and benchmarking

p50/p95/p99 tracking, Prometheus dashboards, k6/JMH regression tests, and profiling.

Trading-style data structures

Order-book thinking, queues, heaps, maps, trees, and correctness under fast updates.

Concurrent Java systems

Thread contention reduction, clean API boundaries, and measurable backend behavior.

Engineering highlights

Backend systems, measured not guessed.

This is the operating model behind the projects: correctness first, benchmarks second, production behavior always visible.

Distributed correctness

I like systems where correctness survives retries, duplicate events, and partial failure.

Idempotency and UETR-style transaction identity.
Serializable transactions and immutable ledgers.
Retry safety, duplicate-delivery handling, and consistency checks.

Performance methodology

I prefer measured engineering: benchmark, profile, change one thing, verify again.

Benchmark design and bottleneck profiling.
p50/p95/p99 tracking and cache-hit analysis.
Load testing and regression testing in CI.

Production readiness

The best backend code is readable in dashboards, logs, errors, and failure tests.

Observability dashboards and request correlation.
Machine-readable errors, rate limiting, and cache eviction paths.
Failure-mode validation before calling a system reliable.

Skills

Grouped skills, no fake percentage bars.

The stack is organized by how it shows up in engineering work: languages, backend, infrastructure, performance, algorithms, and frontend.

Languages

Primary tools for systems, backend, scripting, and UI work.

JavaGoTypeScriptJavaScriptPythonSQL

Backend

API design, services, auth, and backend system boundaries.

Spring BootREST APIsMicroservicesFastAPINode.jsExpressJWTAPI Design

Infrastructure

Storage, caching, messaging, containers, and operational tooling.

DockerRedisPostgreSQLCockroachDBMongoDBKafkaRedpandaPrometheusGrafanaLinux basics

Performance

How I reason about speed, contention, and backend behavior.

Load testingp95 / p99 latencyCachingRate limitingProfiling basicsConcurrency basicsJMHk6

Algorithms

Daily implementation practice through CP and interview-style DSA.

DSACodeforcesLeetCodeGraphsDPGreedySegment TreeBinary SearchHeaps

Frontend

Production UI stack for serious web platforms and dashboards.

Next.jsReactTailwind CSSFramer MotionSEO

Achievements

Proof that shows up outside the portfolio.

Competitive programming ratings, finalist results, and hackathon execution.

Codeforces Expert

Current rating 1676, max rating 1687.

Verify

857+ LeetCode Problems

Includes 142+ hard problems, 31 badges, and a 74-day max streak.

Verify

AIML Track Finalist - RIFT 2026

Autonomous CI/CD healing agent project recognized at RIFT 2026.

Verify

CodeSprint 3.0 - 2nd Runner-Up / Third Place

Secured third place / 2nd runner-up at Geekmayhem - Anaadyanta 2025.

Verify

PARIVARTHAN 2026 - Second Place

Second Place in a 24-hour State-Level Hackathon for Livestock, Poultry and Agri-Tech Systems.

Verify

CIT Distinction Award

Academic recognition with SGPA 8.25 in the second semester record.

Verify

Consistency record

Learning & Events

Proof that I keep showing up - courses, hackathons, infra learning, and technical events. This section is intentionally compact: evidence of consistency, not a certificate wall.

Gallery summary

22 certificates and event records across hackathons, cloud/devops, Linux, software foundations, AI/ML, academic recognition, and project exhibitions.

Featured records

11 highlighted

Hackathons & Events

RIFT '26 Hackathon

Type: Certificate of Appreciation / Participation

Issuer: RIFT '26 / Physics Wallah Institute of Innovation

Date: 19-20 February 2026

Project: Autonomous CI/CD Healing Agent / RIFT

Dinesh H Suthar

Competitive programming is my implementation gym.

dinesh_12334

Expert

Problem solving focus

CP philosophy

Performance work, not resume filler.

Backend & Performance Engineering Intern

Projects with architecture, constraints, and tradeoffs.

Nexus RTP - Distributed Payment System

High-Performance Supply Chain Platform

High-Performance URL Shortener

Autonomous CI/CD Healing Agent - RIFT

A S INTERIORS - Premium Factory Website

Policy Q&A RAG Service

Systems I like building.

Low-latency services

Caching and rate limiting

Distributed backends

Observability and benchmarking

Trading-style data structures

Concurrent Java systems

Backend systems, measured not guessed.

Distributed correctness

Performance methodology

Production readiness

Grouped skills, no fake percentage bars.

Languages

Backend

Infrastructure

Performance

Algorithms

Frontend

Proof that shows up outside the portfolio.

Codeforces Expert

857+ LeetCode Problems

AIML Track Finalist - RIFT 2026

CodeSprint 3.0 - 2nd Runner-Up / Third Place

PARIVARTHAN 2026 - Second Place

CIT Distinction Award

Learning & Events

Featured records

RIFT '26 Hackathon

GDG Solution Challenge

Docker Foundations Professional Certificate

Kubernetes Essential Training: Application Development

Kubernetes for Java Developers

AWS for Developers: DynamoDB

Machine Learning Foundation Certification

Career Essentials in Software Development by Microsoft and LinkedIn

PARIVARTHAN 2026 - State-Level Hackathon Second Place

Full gallery

RIFT '26 Hackathon

GDG Solution Challenge

CodeSprint 3.0 - GDG NMIT / Geekmayhem 2025

HackXios 2k25

GCEM Hacks 4.0

GITAM Hackathon / Project Expo

Docker Foundations Professional Certificate

Kubernetes Essential Training: Application Development

Kubernetes for Java Developers

AWS for Developers: DynamoDB

Learning Bash Scripting

Learning Linux Shell Scripting

Machine Learning Foundation Certification

Programming Foundations: Fundamentals

Programming Foundations: Beyond the Fundamentals

Career Essentials in Software Development by Microsoft and LinkedIn

Introduction to Career Skills in Software Development

Cepheus Hackathon - Atria Institute of Technology

PARIVARTHAN 2026 - State-Level Hackathon Second Place

CIT Distinction Award

CodeSprint 3.0 - 2nd Runner-Up / Third Place

Mini Project Exhibition

From algorithms to systems.

Latest resume, with a local canonical target.

Dinesh H Suthar - Resume

Open to backend, infrastructure, full-stack, and quant SWE opportunities.