Software Engineer

Aditya Mehta

+1-602-***-**** ***************@*****.*** LinkedIn Github

Summary

Software Engineer with extensive experience in object-oriented design, cloud-native applications, and microservices ar- chitecture. Proven track record of developing scalable APIs and optimizing Continuous Integration/Continuous Deploy- ment (CI/CD) pipelines, resulting in significant cost and time savings. Adept at leveraging AWS cloud technologies, Docker/Kubernetes container orchestration, and infrastructure as code (IaC) for robust and agile development. Expert in data structures & algorithms, distributed systems, and large-scale infrastructure. Skilled in performance analysis, profiling & debugging, and system health diagnosis. Familiar with accessible technologies and best practices. Demonstrated leadership in cross-functional teams and a commitment to continuous improvement in fast-paced environments. Currently pursuing a Master’s in Computer Science at Arizona State University with a 4.0 GPA. Skills

Programming & Scripting: Python, Java, C/C++, Go, SQL, Bash, Object-oriented Programming, Data Structures & Algorithms

Cloud/DevOps: AWS (EC2, S3, RDS, Lambda, CloudFormation), Docker, Kubernetes, Jenkins, Git, Terraform, CI/CD pipelines

Software Design: Microservices, REST APIs, Load Balancing, Caching, Distributed Systems, Scalability, Networking

(TCP/IP, DNS)

Performance & Debugging: Profiling (gprof, cProfile), Tracing (Jaeger), Benchmarking, Post-mortem Debugging System Health & Monitoring: CloudWatch, ELK Stack, Datadog, Prometheus & Grafana, Alerting, SLO/SLI Man- agement

Visualization & Analysis: Grafana Dashboards, Power BI, Tableau, Custom Data Pipelines Test Engineering: Unit Testing (PyTest, JUnit), Integration Testing, TDD/BDD, Test Automation Accessible Technologies: WCAG, ARIA Standards, Semantic HTML, Screen-reader Testing Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB), NewSQL (CockroachDB), Redis Security & Monitoring: OAuth 2.0/JWT, AWS IAM, TLS, VPN, IAM Policies Soft Skills: Team Leadership, Collaboration, Communication, Critical Thinking, Agile/Scrum Other Skills: BI/Reporting (Power BI, Tableau), Linux, Process Optimization, Code Reviews, Design Reviews Professional Experience

Software Engineer Lead Feb 2023 – Jul 2023

Capgemini India - Client: General Motors(US) Bengaluru, IN

– Architected a serverless, parallel image workflow with AWS Lambda, S3 event triggers, and API Gateway load balancing, reducing scenario turnaround by 40% while lowering compute cost by 25%.

– Enabled cost-efficient autoscaling by pairing Kubernetes Cluster Autoscaler with AWS Spot Instances, run- ning container workloads 30% cheaper while handling 4 traffic spikes.

– Consolidated multi-repo workflows into a mono-repo pipeline with environment-based Helm charts, enabling one-click deploys across dev, QA, and prod.

– Deployed multi-layer monitoring with CloudWatch Logs, Datadog monitors for email triggers, and Grafana trend dashboards, enabling predictive scaling and halving critical ticket volume.

– Automated sprint workflows via Python with Jira REST APIs and Slack bots, trimming stand-up prep time by 50% and lifting velocity from 16 to 28 story points per iteration. Software Engineer Jun 2020 – Feb 2023

Larsen & Toubro Infotech - Client: Scania AB(Sweden) Bengaluru, IN

– Architected a FastAPI-based microservice stack backed by PostgreSQL and delivered through Jenkins CI/CD; integrated an IsolationForest model (Scikit-learn) to mine API telemetry and predict traffic surges, sur- facing live metrics in Grafana dashboards for proactive scaling.

– Delivered the SAPS API Service as a Python microservice deployed on AWS API Gateway and Lambda, backed by DynamoDB and secured with OAuth 2.0/JWT, empowering more than 600+ teams to self-manage subscriptions and cutting support tickets by 40%.

– Built an end-to-end CI/CD pipeline for WSO2 API Platform upgrades: Git commits trigger AWS Code- Build Docker images, infrastructure is codified with CloudFormation, deployments roll out via Lambda-driven CodeDeploy, and health metrics stream to CloudWatch, cutting environment update time 70% while ensuring zero-downtime releases.

– Authored a Python PyTest health-check suite that exercises 120 REST endpoints after each deploy, logs results to CloudWatch and pushes pass/fail summaries through AWS SNS email alerts, enabling dev-to-prod promotion with 99% confidence and halving regression escapes.

– Managed the CloudWatch to Datadog log pipeline across three AWS regions including the new Stockholm envi- ronment by scripting region-aware monitors with Python and rolling out alert policies through Jenkins jobs, which cut incident-triage time 30% and preserved a 99.9% SLA. Software Developer Intern May 2019 – Jul 2019

Caratlane India Chennai, IN

– Built a task tracker with Django REST Framework on AWS and an Angular front end, letting eight teams sort and claim work in one place and ending back-and-forth emails.

– Set up a nightly Python AWS Lambda that pulls progress stats from MySQL and emails a short status digest, saving 30 minutes at every stand-up.

– Created a web portal that lists every Docker image in AWS ECR, stores details in MongoDB, and lets non-coders start or stop containers with one click, cutting DevOps hand-offs 50%.

– Added OAuth 2.0 and JWT role access so product managers can view logs and metrics without SSH. Education

Master of Computer Science (GPA: 4.00/4.00) Aug 2023 – May 2025 Arizona State University, Tempe, AZ

Bachelor of Technology, Computer Science (GPA: 7.78/10.00) Aug 2016 – May 2020 University of Petroleum and Energy Studies, Dehradun, IN Projects

AWS-Driven ML Pipeline — AWS, Python, TensorFlow, Docker Feb 2023 – May 2023

– Built an end-to-end data pipeline on AWS using S3 (data storage), Lambda (ETL), and SQS (asynchronous processing).

– Trained & deployed a TensorFlow model for real-time classification, achieving 92% accuracy on validation data.

– Containerized the entire pipeline with Docker, simplifying reproducible development environments and reducing setup time

– Leveraged AWS Step Functions for orchestration, boosting reliability and transparency of data workflows. Kubernetes Microservices Application — Python, FastAPI, PostgreSQL Sep 2022 – Dec 2022

– Developed multiple Python-based microservices, each managing discrete business logic with separate containers.

– Utilized Kubernetes (Minikube/EKS) for orchestration, ensuring auto-scaling and load balancing.

– Integrated PostgreSQL for relational data & Redis for caching, boosting response times by 40%.

– Adopted best DevOps practices with Helm charts, enabling repeatable and versioned deployments. NoSQL Analytics Dashboard — MongoDB, React, Node.js Jan 2022 – Mar 2022

– Implemented a React-based dashboard visualizing data from MongoDB, providing near real-time analytics.

– Built REST APIs (Node.js) to ingest, query, and aggregate large JSON datasets, reducing query times by 35%.

– Employed Docker Compose for local development, streamlining multi-service integration and testing.

– Deployed on AWS Elastic Beanstalk, enabling frictionless continuous integration & delivery. Extracurricular & Leadership

Co-founded and served as Vice President for the Engineering international students association(EISA), expanding membership to 100+ in the first semester and partnering with local tech sponsors. Organized technical workshops, guest lectures, and mentorship sessions to enhance career-focused learning, resulting in a 30% increase in event attendance. Volunteered and worked as a student coordinator for new-student programs at ASU’s ISSC, guiding 200+ peers through orientation, enrollment steps, and cross-cultural networking events. Led a winning hackathon team, creating an AI-driven data visualization solution that outperformed 50+ competitors via real-time analytics and effective project management.

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