Bhavuk Kalra

Software Engineer

Patiala, Punjab, India4 yrs 5 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in building event-driven microservices.
Achieved 40% improvement in data-processing throughput.
Certified AWS Developer Associate with a focus on scalable architectures.

Stackforce AI infers this person is a Full Stack Engineer specializing in SaaS and cloud-native solutions.

Contact

bhavukkalra1786@gmail.com LinkedIn

Skills

Core Skills

JavaSaasSpring BootPythonAwsNuxt.jsNestjs

Other Skills

OCIDatabricksSoftware as a Service (SaaS)GraphQLRedisHigh-Level DesignLow-Level DesignDatabase DesignKafkaDockerKubernetesTerraformMicroservicesDistributed SystemsNode.js

About

I’m a Full Stack Engineer with experience designing and scaling secure, distributed systems using Java, Spring Boot, Python, AWS, Kafka, React, Docker and Kubernetes I specialize in building event-driven microservices and optimizing backend performance across the full SDLC — from design and architecture to production optimization. Currently at Oracle as an SDE 3 in the Fusion Data Intelligence team, contributing to and enhancing its SaaS offerings by enabling Agentic AI agents across all suites. In my previous role At J.P. Morgan Chase, I’ve led key initiatives to modernize on-prem batch workloads into cloud-native, AWS-based systems, processing 3.6M+ records/day using Databricks and Spring Boot. Contributed towards boosted ingestion speed by 40%, reduced compute costs by 35% using Terraform-driven orchestration and Kubernetes tuning. Beyond production engineering, I focus deeply on system design and code quality — automating deployments through CI/CD pipelines. Outside of work, I build impactful backend and GenAI-driven projects, including: 1. ResumeRefine – An AI-powered resume optimizer built with Spring Boot, AWS Cognito, and ChatGPT API; improved user match accuracy by 60% and reduced unauthorized access attempts by 45%. 2. Password Management System – MERN + AWS application implementing JWT & 2FA with Terraform automation. 3. ThreadBoost – Demonstrated non-blocking API throughput using multithreaded design, improving concurrent handling 4×. Certified as an AWS Developer Associate, I’m passionate about designing scalable architectures, optimizing performance, and integrating AI/GenAI in backend systems.

Experience

4 yrs 5 mos

Total Experience

4 yrs 1 mo

Average Tenure

3 mos

Current Experience

Oracle

Software Engineer 3

Mar 2026 – Present · 3 mos · Bengaluru · On-site

Contributing towards designing Oracle Fusion Analytics products

JavaOCISaaS

Jpmorgan chase & co.

4 roles

Software Engineer 2

Jan 2025 – Mar 2026 · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

Contributed towards streaming workflows consumption on databricks

JavaSpring Boot

Software Engineer 1

Jul 2022 – Jan 2025 · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

Drove end-to-end modernization: of legacy batch systems through distributed execution using thread-executor pools, non-blocking asynchronous processing, migration of large historical datasets, metadata-driven join consolidation, and subquery-based SQL optimization—achieving a 40% improvement in data-processing throughput, a 35% compute reduction, and over $100K in recurring annual efficiencies.
Optimized production backend workload by redesigning service resource allocation and execution patterns, improving compute efficiency by 35% and enabling far higher concurrency under the same budget
Designed and delivered high-throughput backend APIs optimized for compute-heavy and I/O-intensive workloads by incorporating multi-layer caching, asynchronous event-driven processing, parallel execution paths, and shard-aware data distribution—cutting end-to-end latency by 50%

JavaPython

Software Engineer Intern

Jan 2022 – Jul 2022 · 6 mos · Bengaluru, Karnataka, India · On-site

𝐋𝐞𝐝 𝐭𝐡𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐨𝐟 𝟑 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 (1 major, 2 minor) to UAT and PROD environments, ensuring 100% on-time delivery and enhancing system reliability for hundreds of internal users.

Spring BootAWS

Software Engineering Intern

Jun 2021 – Aug 2021 · 2 mos · Mumbai, Maharashtra, India

Worked on Java Based Web Technologies Namely(Full Stack) - SpringBoot/SpringCloud/Discovery Service, was part of 3 projects.

Github

Software Engineering Intern

Mar 2021 – Jun 2021 · 3 mos · Remote

Built scalable mock API systems capable of processing 100K+ monthly requests by designing load-balanced simulation routes, parallel request-processing flows, and isolated execution sandboxes—boosting developer debugging efficiency by 40% and accelerating backend integration cycles.
Strengthened platform observability through distributed log tracing, structured logging pipelines, and resilient error-propagation layers—cutting time to root-cause production issues by 50%, reducing operational workload by 20%, and enabling more accurate performance tuning for production-aligned replicas.
Delivered a robust testing ecosystem by isolating request paths, generating deterministic test endpoints, and aligning releases with versioned API evolution and continuous delivery workflows—raising automated test coverage to 90%+ and reducing release-related failures by 40%.

Nuxt.jsNestJS

Turingo

Machine Learning Intern

Dec 2019 – Mar 2020 · 3 mos

Customized and Trained a ML model based on Unsupervised Learning to Generate questions from a dataset of paragraphs collected via web scraping.
Used - Bidirectional Encoder Representations(BERT),Readability Index techniques to further enhance the efficiency of the model.