Sahil Pandey

Software Engineer

Bengaluru, Karnataka, India2 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Engineered high-performance regulatory reporting solutions.
Optimized real-time data pipelines for financial transactions.
Developed cloud-native architectures on AWS and GCP.

Stackforce AI infers this person is a Fintech-focused Systems and Software Engineer with cloud and data expertise.

Contact

Skills

Core Skills

Spring BootSqlJavaApache SparkC++MultithreadingArtificial Intelligence (ai)Rest ApisMachine LearningAndroid Development

Other Skills

AWSAlgorithmsAndroid StudioAndroid TestingAngularJSBack-End Web DevelopmentCCassandraComputer ArchitectureComputer NetworkingComputer ScienceDebuggingDevOpsDevice DriversFull-Stack Development

About

I’m a passionate Systems and Software Engineer with 2+ years of experience building high-performance, scalable solutions across cloud, data, and infrastructure domains. At CME Group, I’ve worked on optimizing regulatory reporting platforms and real-time data pipelines using C++, Java, Apache Spark, Kafka, and Spring Boot—reducing processing time and improving throughput significantly. My expertise spans C/C++ systems programming, multithreading, and performance tuning on Linux, along with experience in Python and Go for automation and backend development. I’ve engineered and deployed cloud-native architectures on AWS and GCP, automated CI/CD pipelines, and worked with Cassandra and SQL to deliver data-intensive services. Previously at Intel, I contributed to embedded systems and multithreaded app development, driving key optimizations in GCC-based environments. I’m well-versed in debugging tools like gdb, Valgrind, and hands-on with Make/CMake, Docker, and Kubernetes. With strong SDLC understanding and a track record of delivering across the full development lifecycle—from requirements to deployment—I enjoy solving system-level problems and optimizing for performance, reliability, and cost. Outside of work, I’m a tech enthusiast with a keen interest in distributed systems, low-latency infrastructure, and exploring how AI can be applied in backend and systems software. Let’s connect if you’re passionate about building robust, efficient software systems!

Experience

Cme group

2 roles

Software Engineer 2

May 2025 – Present · 10 mos

GoSpring BootSQL

Software Engineer 1

Jul 2023 – May 2025 · 1 yr 10 mos

Engineered regulatory reporting solutions, increasing system performance by 30% through optimizing code using Java, Apache Spark, and Spring Boot.
Designed and deployed cost-effective cloud-based applications with AWS (EC2, S3, EMR) and GCP, reducing infrastructure costs by 20%.
Optimized Kafka-based messaging systems, boosting data ingestion speed by 40%, improving real-time financial transactions for stakeholders.
Developed scalable Spark-based data pipelines, reducing data transformation time by 50%, increasing system throughput and operational efficiency.
Implemented CI/CD pipelines, cutting deployment time by 60%, resulting in reduced production downtime and more efficient releases.
Spearheaded database optimizations in Cassandra and SQL, achieving a 25% reduction in query execution time for large-scale datasets.

JavaApache SparkSpring BootAWSGCPKafka+2

Intel corporation

Software Engineer Intern

Dec 2022 – Jun 2023 · 6 mos · Bengaluru, Karnataka, India · Hybrid

A member of Intel's Vision Technology Group (VTG), which works on the newest vision-based IPs that drive numerous Intel SoCs.
● Implemented the complete porting and compilation support of Image/Video processing HostApp on windows, Enhanced 32bit HostApp to support 64bit and generated executables and dlls using CMake which involved bug fixing, implementation of linux based packages, thread implementation, GCC x86 compilation on MinGW bash.
● Implemented USB multi stream support on HKR(Intel’s SoC) via enabling auto port parallel camera sensor detection using threads and synchronising them.. Stored binary data obtained to calculate CRC for validation.

C++MultithreadingOperating SystemsVersion ControlGitDebugging+1

Samsung r&d institute india

Research Intern

May 2022 – Oct 2022 · 5 mos · Bangalore

HTML5Artificial Intelligence (AI)REST APIsMachine LearningJavaScriptGit+1

Flipkart

Project Mentee @ Flipkart Grid

Aug 2021 – Nov 2021 · 3 mos · India

A multiple stage competition which included multiple rounds from online test to ideathon to final hackathon.
● Created multiple machine learning models to classify the users into 4-5 segments depending on multiple
independent variables like their income, spending pattern, college, marks, designation, type of city they live in,
properties owned etc.
● Pitched the idea of how to categorize people/users into different segments based on multiple factors that could help organizations get a better idea on people's financial/social position.
● Cleared multiple rounds and came in top 30 teams out of 25000+ teams.

Machine LearningREST APIsNode.jsJavaScriptGitPython

Sg infosytems pvt ltd

Software Developer

Jul 2021 – Sep 2021 · 2 mos

Worked with SG Infosystem's client CAREER IT HUB for development,testing and deployment of an app
● Lead and managed front-end team for the knowledge partner domain side
● Designed specifications into functional and interactive UI elements using XML and layout tools such as Constraint Layout, Linear Layout, etc. Java to develop UI components, screens, and layouts to ensure proper alignment, responsiveness, and adaptability across various screen sizes and orientations and optimize application performance by identifying and resolving performance bottlenecks, reducing memory usage, and improving rendering speed.

HTML5JavaJavaScriptGitAndroid Development