Sambit Kumar Pradhan

Software Engineer

Bengaluru, Karnataka, India1 yr 9 mos experience

Key Highlights

Strong backend expertise with Java and Spring Boot.
Developed scalable products improving system throughput by 30%.
Achieved 95% accuracy in machine learning projects.

Stackforce AI infers this person is a Full Stack Engineer with expertise in SaaS and scalable backend systems.

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Skills

Core Skills

JavaSpring BootAws KinesisMachine Learning

Other Skills

API GatewayAWS LambdaAmazon Web Services (AWS)Deep LearningExtra Tree ClassifierMicrosoft AzureRandom ForestReactSQLTeamworkXGBoost

About

With a strong foundation from NIT Silchar (CSE, CGPA: 8.4) and hands-on experience on building large scalable backend systems, microservices architecture, and intuitive frontend solutions at fast-paced startup over 1 yr exp. What I bring to the table: • Solid backend expertise with Java, Spring Boot & Kafka • Frontend experience using React.js • Experience with high-throughput systems and microservice orchestration • Strong grasp of DSA & system design (600+ LeetCode problems, Top 3% , 2000+ rating) • Exposure to SQL/NoSQL (MySQL, MongoDB, ScyllaDB) and cloud/devops practices (Docker, AWS, CI/CD) I’m excited to join product-driven teams where technology solves real-world problems at scale. Let’s connect! 📩 0510sambitpradhan@gmail.com

Experience

Visa

Software Engineer

Jul 2025 – Present · 8 mos · Bengaluru, Karnataka, India · Hybrid

Firsthive | customer data platform

Full Stack Engineer

May 2024 – Jun 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Developed and maintained a scalable product using Java/Spring Boot backend and React frontend,
implementing core business functionalities and responsive UI components.
Implemented event-driven architectures using AWS Lambda, API Gateway, and AWS Kinesis for real-time data streaming, enabling scalable message processing. Successfully improved system throughput by 30%.
Implemented real-time event streaming pipeline using AWS Kinesis and SQL to analyze customer behavioral data, processing events for insights like page views, feature usage, and user engagement patterns with sub-second latency.

JavaSpring BootReactAWS LambdaAPI GatewayAWS Kinesis+1

National institute of technology silchar

Research Intern

Jun 2023 – Jul 2023 · 1 mo · On-site

Implemented Machine Learning algorithms to recognize human activity patterns based on the collected sensor data.
Employed Random Forest, Extra Tree Classifier and XGBoost, achieving an impressive 95% accuracy.
Led the team in collecting and analysing sensor data for the project.

Machine LearningRandom ForestExtra Tree ClassifierXGBoost