Nilesh Sinha Roy

Software Engineer

Bengaluru, Karnataka, India2 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Expert in backend technologies and microservices architectures.
Proven track record in optimizing high-performance systems.
Strong analytical skills developed through quantitative research.

Stackforce AI infers this person is a Backend-focused Software Developer with expertise in SaaS and Fintech industries.

Contact

Skills

Core Skills

MicroservicesBackend DevelopmentData AnalysisCloud Native TechnologiesQuantitative ResearchQuantitative Analysis

Other Skills

GoJavaCore JavaSpring BootKafkaMySQLScyllaDBGoogle Ads APIMeta Ads APITelegrafJMeterC++Machine LearningPredictive ModelingTrading Strategies

About

Hi, I’m an aspiring Software Developer with a strong passion for continuous learning and building meaningful technology. My journey began with competitive programming and exploring the depths of data structures and algorithms in C++, which laid a solid foundation for problem-solving. Along the way, I had the opportunity to work as a Quantitative Research Intern at WorldQuant, which helped shape my analytical mindset. What truly excites me is solving real-world business challenges through scalable and resilient software. I’ve worked extensively with backend technologies like Go, Java, Python, Spring Boot, Kafka, Redis, MySQL, and ScyllaDB, often in microservices-based architectures. I’m also experienced with cloud-native tools such as Kubernetes, Docker, Argo Workflows, and Prometheus. Whether it's backend systems or fullstack applications, I enjoy building real-time, high-performance systems that can stand up to scale and demand.

Experience

2 yrs 9 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 10 mos

Current Experience

Meesho

2 roles

SDE 2

Jan 2026 – Present · 5 mos · On-site

GoJava

SDE 1

Jul 2024 – Dec 2025 · 1 yr 5 mos · On-site

Managed multiple micro-services supporting user growth charter, onboarding, profile management, analytics data sharing and ranking product feeds for personalisation.
Optimised the user update flow via Kafka consumers, implementing dual writes to MySQL and ScyllaDB, and enabling direct writes to ScyllaDB for a seamless database migration. I have also led the re-architecture of user profile service with cache and api level improvements in P99 latency SLAs and resulting in infra cost savings during sale time.
Improved Read API performances (perceived latency) for S2S flows by 50 percent leveraging parallelism and efficient Scylla DB queries. • Ensured system stability during peak sale hours, handling 150K+ RPS with zero downtime during sale period.
Contributed to Google Audience Analytics Funnel, supporting product experiments, cohort-based analysis.
Introduced automation of Google and Meta Ads leveraging their Ads API and help to boost creator posts resulting in meeting business goals.
Fixed Meta Ad Reports flow for large re-marketing campaigns enabling campaign budget spends optimisation.
Introduced Vernacular Product Feed as Experiment in Homepage Widgets.
Improved Feed Personalisation, Relevance leveraging various User Signals from backend managed by us providing business impact for new installed users.

Core JavaSpring BootMicroservicesBackend Development

Sap labs india

Associate Developer

Jul 2023 – Jun 2024 · 11 mos · Bengaluru, Karnataka, India · On-site

Worked in the cloud native technologies like Kubernetes, Argo Workflows, Grafana
Have experience in managing workloads in Kubernetes, cloud native technologies like Argo Workflows, setup and monitoring metrics in Grafana dashboards
Have experience with docker, python, bash as well and performed high load tests with different timeseries dbs like Prometheus, Influxdb and Victoria metrics

TelegrafJMeterCloud Native Technologies

Worldquant

Quantitative Researcher

May 2022 – Jul 2022 · 2 mos · Mumbai, Maharashtra, India

1.worked predictive D1 to D0 research quali-team of WorldQuant.
2.explored reversion, correlation, momentum based trading strategies and used them to develop more complex trading algorithms.
3.researched several financial literatures to develop quantitative strategies to generate high sharp low turnover trading signals.
4.developed high performance market predictive models (alphas) using WorldQuant's market simulators Star GUI and WQSim, using price volume data of past 10 years of US equity market.

C++Machine LearningQuantitative Research