REETESH TOMAR

Operations Associate

India2 yrs 10 mos experience

Highly Stable

Key Highlights

Proficient in full-stack development with a focus on data visualization.
Experienced in DevOps practices and cost-saving application migrations.
Strong foundation in deep learning and AI technologies.

Stackforce AI infers this person is a Full-stack Developer with expertise in Fintech and AI/ML applications.

Contact

Skills

Core Skills

Full-stack DevelopmentData VisualizationDevopsDeep Learning

Other Skills

Spring BootAngularGraphQLSQLJenkinsCICDCost AnalysisKerasData AnalyticsAlgorithmsBitbucketGitC++Python (Programming Language)Data structures and algorithm

About

Student at Army Institute of Technology, Pune Studied at Army Public School, Meerut

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Deutsche bank

4 roles

Associate

Feb 2026 – Present · 3 mos

Senior Technical Analyst

Promoted

Oct 2024 – Feb 2026 · 1 yr 4 mos

Technical Analyst

Jul 2023 – Oct 2024 · 1 yr 3 mos

Built and maintained full-stack applications using Spring Boot (backend) and Angular (frontend).
Created interactive dashboards for data visualization and real-time analytics.
Integrated GraphQL for efficient data querying and API management.
Designed, managed, and optimized SQL databases.
Collaborated with cross-functional teams for high-quality software delivery.
Ensured code quality and reliability through testing and code reviews.

Spring BootAngularGraphQLSQLFull-stack DevelopmentData Visualization

Technical Analyst Intern

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

Migrated applications of DARE from Teamcity to Jenkins
Created CICD pipeline for the applications
Cost saving analysis - These application migration saves approx. 8 Lakhs rupees per year for the company

JenkinsCICDCost AnalysisDevOps

Medyug technology pvt ltd

Software Engineer Intern

Feb 2022 – Apr 2022 · 2 mos · Bengaluru, Karnataka, India

- Worked on Human voice activity detection using Keras based model

Deep LearningKerasData Analytics

Indian institute of science (iisc)

Summer Research Intern

May 2021 – Jul 2021 · 2 mos · Bangalore Urban, Karnataka, India

GUIDE: Prof. Sundeep Prabhakar Chepuri
Explore the field of Graph Neural Networks | Implemented GraphSAGE algorithm for link
prediction task on given dataset | Applied Graph Attention network for Entity Alignment
task on DBP15k dataset | Achieve 1.5% more accuracy as compare with the task given.