Ayushi Rastogi

Software Engineer

Gwalior, Madhya Pradesh, India4 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Improved NPS by 14% through effective campaign management.
Enhanced team productivity with proactive product improvements.
Developed user-centric solutions in diverse technical environments.

Stackforce AI infers this person is a SaaS and Fintech-focused Software Engineer with a strong emphasis on user-centric design.

Contact

Skills

Core Skills

Stakeholder ManagementProblem SolvingCross-functional CollaborationsAgile MethodologiesData ScienceAndroid Development

Other Skills

AdaptabilityAlgorithmsAndroid SDKAndroid StudioArtificial Neural NetworksCC++Computer NetworkingConstructive criticismContinuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)CreativityData StructuresData-driven Decision MakingDeep Learning

About

Product case studies / Proof of work - https://tinyurl.com/bdhewah6 Whether I'm building, shipping or debugging, I focus on creating work that's reliable, scalable and rooted in real user-centric needs. I'm obsessive about asking and understanding the WHY. I thrive in teams who are comfortable with iterations and feedbacks. Where everyone owns the outcome, not just their piece. If any of this sounds like your vibe, let's grab a coffee (virtual or real) and chat - always up to connect, swap ideas or maybe build something cool together!

Experience

Capillary technologies

Software Developer

Oct 2023 – Present · 2 yrs 5 mos · Bengaluru, Karnataka, India · Hybrid

Owned end-to-end delivery of loyalty campaigns, collaborating with
stakeholders to define rules, validate real-time points logic, and ensure
error-free launches focused on retention and win-back. This played a key role in
improving NPS by 14% and strengthening partnership with client.
Worked on internal Operations portal module by proactively identifying and
analysing what is wrong or more time taking forthe configuration team,
translating feedback into meaningful product enhancements. This increased
team productivity and sprint velocity.
Dug into historical coupon usage across 5+ countries to understand how
customers redeem offers during peak season, uncoverrepeat-usage patterns -
helping shape seamless campaigns.
Identified and resolved a performance bottleneck, digging into complex
database joins and introducing smarterindexing to make frequent queries run
about 2× faster.

Data-driven Decision MakingStakeholder ManagementProblem SolvingAndroid SDKDockerKubernetes+1

Amazon

Software Engineer

Jul 2021 – Sep 2023 · 2 yrs 2 mos · Bengaluru, Karnataka, India · Hybrid

Contrasted performances of two camera selection algorithms: one in prod and the other using a vision-centric shelf agnostic parameter. Identified loopholes in current architecture and built solutions to test services end-to-end, thus improving service reliability and user experience.
Supported product discovery by gathering user feedback, bridging technical needs with customer requirements.
Brought up team’s services in a new region. Project involved understanding dependencies of services, hosts distribution and API endpoint creation.
Architecture: Tier1 microservice, design patterns, solid principles.

Data-driven Decision MakingCross-functional CollaborationsAgile MethodologiesAlgorithmsPython (Programming Language)

Red hat

Software Development Engineering intern

Jan 2021 – Jun 2021 · 5 mos · Bengaluru, Karnataka, India · Remote

Integrated security gates, such as scanning repositories / images for vulnerabilities, inside a CI/CD pipeline.
Focussed on risk mitigation and continuous improvement.
Tools Used: Minikube and Keras. Implemented through Golang and YAML .

Continuous Integration and Continuous Delivery (CI/CD)GolangKeras

Okcredit

Data Science Intern

Apr 2020 – Jul 2020 · 3 mos · Bengaluru, Karnataka, India · Remote

Worked on Graph networks , Graph embeddings and community detection algorithms like Girvann-newmann and louvain to analyse relationships between users of OkCredit app.
Visualized user relationships to understand customer behavior.
Tools Used: Jupyterlab and BigQuery . Implemented through Python and SQL

Graph NetworksGraph EmbeddingsData SciencePython (Programming Language)