Sneha Gupta

Software Engineer

Bengaluru, Karnataka, India6 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable e-commerce systems.
Led automation initiatives improving operational efficiency.
Developed AI solutions enhancing user interactions.

Stackforce AI infers this person is a Backend-focused Software Engineer in the E-commerce and AI sectors.

Contact

sneha.gupta@rubrik.com LinkedIn

Skills

Core Skills

Systems DesignBackend DevelopmentData EngineeringSoftware DevelopmentMicroservices

Other Skills

Apache KafkaApache SparkArduinoAutomationAzkabanAzure Cosmos DBAzure DevOpsAzure FunctionsC++Cascading Style Sheets (CSS)Data-Driven Decision MakingDialogflowEntrepreneurshipEvent ManagementFashion Photography

About

Software Development Engineer | Flipkart | IIT Bhubaneswar '22 As a Software Development Engineer (SDE-2) at Flipkart, I am passionate about building scalable, high-performance systems that power e-commerce at scale. With expertise in systems design, high-level and low-level design, I thrive on solving complex engineering challenges and delivering impactful solutions. 🔹 Experience & Expertise ✔ Flipkart – Spearheading automation and scalability in forecasting systems, ensuring smooth data-driven decision-making. ✔ Deloitte – Developed an AI-powered interview bot, leveraging cutting-edge technologies to enhance user interaction and automation. 🔹 Tech Stack & Skills 🔹 Java | Python | SQL | Spark | Dropwizard 🔹 Distributed Systems | Backend Development | Microservices 🔹 Performance Optimization | System Architecture | Data Engineering 🔹 Cloud Technologies | GCP | AWS 🔹 Education & Achievements 🎓 B.Tech in Electrical Engineering from IIT Bhubaneswar 🏅 Secured branch change in my first year at IIT BBS 💡 Passionate About ✔ Architecting scalable and efficient systems ✔ Problem-solving through innovative tech solutions ✔ Continuous learning and mentorship Let’s connect and discuss how technology is shaping the future! 🚀 Feel Free to reach out at snehagupta5678@gmail.com

Experience

6 yrs 6 mos

Total Experience

1 yr 10 mos

Average Tenure

3 yrs 11 mos

Current Experience

Flipkart

2 roles

SDE-2

Promoted

Jan 2025 – Present · 1 yr 5 mos · On-site

I work in the Planning team, responsible for generating highly accurate forecasts that drive critical business decisions. I manage multiple services and core pipelines to ensure seamless, structured forecast delivery to stakeholders. Additionally, I focus on automating manual processes, optimizing workflows, and improving overall efficiency, reducing operational bandwidth for the team.

Systems DesignHigh-Level DesignLow-Level DesignApache SparkSedonaHadoop+7

SDE-1

Jun 2022 – Dec 2024 · 2 yrs 6 mos · On-site

Apache SparkSoftware DevelopmentJavaC++LeadershipHadoop+1

Deloitte india (offices of the us)

DAS Spark internship

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India

Worked in the Spark group of Deloitte Application Studio, We developed end to end interview bot using various cutting edge technologies. As a part of the team we tried to make the bot more robust, dynamic and user friendly.

Womentech network

WomenTech ambassador

May 2020 – May 2021 · 1 yr · Bhubaneshwar, Odisha, India

On a mission to unite 100 000 women in tech to discuss things that matter!
Join the WomenTech Global Conference 2020 June 10-12: 👉🏼 https://www.womentech.net/women-tech-conference
As a member of the WomenTech Network, I get to learn about diversity & inclusion, develop my leadership skills and expand my network.

Vardhan consulting engineers

Solar PV- Designing and Simulation Intern at VCE

May 2020 – Jul 2020 · 2 mos

In this internship I have learnt to do simulation and designing of large scale PV module installation in PVsyst simulation software. I have done all the calculation of the no. of modules, inverters required, tackled with all sort of losses, and was successful in obtaining the PR of 0.79

Avilinfo.in

Data Analyst

Apr 2020 – Jul 2020 · 3 mos · Bhubaneshwar, Odisha, India

Worked as a intern in the student program of Avilinfo. As a intern my job was to separate the customer based on their mutual characteristics. The unsupervised machine learning algorithm used for Separation of Customer based on mutual characteristics is K-Means clustering.