Open to opportunities

Aastha Mehta

@aasthamehtatech

Message

Curious learner and team player with 4+ years of experience in Fintech & Commercial AI domains

India

Message

What I'm looking for

Looking for a challenging role that leverages my technical skills and passion for innovation, with opportunities for growth and collaboration.

I'm Aastha Mehta, a passionate software engineer with a strong background in Fintech and Commercial AI. With over 4 years of experience, I've developed a unique blend of technical skills and soft skills, making me a valuable asset to any team. My expertise lies in building optimized solutions, implementing best practices, and enhancing platform capabilities.

In my current role as a Platform Software Engineer at Peak.ai, I've made significant contributions to the company, including implementing platform-wide monitoring, introducing custom observability frameworks, and developing backend and frontend for access-control microservices. I'm proud of my achievements, including 30% monthly cost savings and enhanced availability.

Throughout my career, I've worked with various technologies, including Node.js, Python, Java, AWS, Git, React, K8s, Observability, CI/CD tools. I'm a strong believer in continuous learning and have a proven track record of mentoring, code-reviews, and contributing to open-source projects.

Experience

Work history, roles, and key accomplishments

Current

Platform Software Engineer (DevX)

Current

Peak.ai

May 2022 - Present (3 years)

Implemented platform-wide monitoring with Prometheus, Grafana, and Slack Alerts, achieving 30% monthly cost savings and enhanced availability. Developed backend and frontend for an access-control microservice supporting nested feature permissions; integrating OAuth 2.0 mech for platform wide APIs.

Python EC2 Lambda Step Functions Beanstalk EKS S3 IAM Route 53 GitHub Actions Helm Terraform Istio Nginx DynamoDB RBAC

Senior Software Engineer

Larsen & Toubro Infotech

Aug 2020 - Feb 2022 (1 year 6 months)

Enabled Payment Solutions at NETS (Nexi group) by File Processing for batch & online transactions in an agile manner. Migrated xslt to Java Spring Boot for conversion process optimizing memory consumption from 18GB to 0.2GB.

SVN Nexus Java Spring Boot Maven Mockito

Machine Learning Intern

Cloud Counselage Pvt Ltd

Apr 2020 - Aug 2020 (4 months)

Designed & developed an Event Recommender system (domain-event title maps) for forwarding email event invites to internal employees automatically which led to rise in engagement by 75%.

NLTK Python Pandas