I'm Aniket Ahir.
Software Engineer | Full Stack Developer | Cinephile | Gamer
I am a passionate and results-driven Software Engineer with a strong foundation in both backend and frontend development. My journey in technology is fueled by a love for problem-solving and continuous innovation. My professional journey in software engineering began in 2021, driven by a deep passion for technology and problem-solving. With a Master's in Computer Software Engineering from Arizona State University and a Bachelor's in Computer Engineering from Gujarat Technological University, I've honed my skills through impactful experiences. At Softvan, I engineered a Personal Cloud Storage System, and at Axisray, I collaborated on designing scalable web applications and integrating RESTful APIs. My role as a Research Assistant at ASU involved working on the Living Repository Initiative with Oxford University, where I improved data accuracy and efficiency. I thrive on transforming complex ideas into elegant solutions, consistently delivering innovative and effective results. My commitment to continuous learning and excellence fuels my drive to push the boundaries of technology.
Java
Python
C++
C Sharp
JavaScript
TypeScript
HTML
CSS
SQL
Spring Boot
Hibernate
Maven
AngularJS
ReactJS
Next.js
Node.js
Kafka
JUnit
Mocha
Redux
MySQL
MongoDB
PostgreSQL
AWS
GCP
Cassandra
Git
GitHub
Docker
Kubernetes
Selenium
Postman
Jenkins
Linux
SonarQube
JIRA
Figma
Master of Science
Computer Science
Arizona State University
Bachelor of Engineering
Computer Engineering
Gujarat Technological University
High School
Rachana School
Software Developer
- Developed full-stack event-driven microservices with Spring Boot, Apache Kafka, and React, handling 50K+ daily transactions; cut latency by 40% via Kubernetes and scalable architecture
- Built centralized monitoring dashboard leveraging Prometheus, Grafana, and ELK Stack for real-time metrics/logs, integrating OpenObserve and DataDog for advanced analytics; slashed MTTR by 65% and achieved 99.95% uptime
- Streamlined PostgreSQL-based APIs and frontend state management incorporating Redis caching, indexed data structures, and Spring Data JPA; reduced query latency from 5s to 250ms, cloud costs by 30%, improving frontend performance
- Automated CI/CD pipelines with Jenkins and SonarQube via Test Driven Development (TDD) boosting release frequency
Research Assistant - Living Repository
- Orchestrated precise input of historical and legal data into Quill platform achieving exceptional 99.5% accuracy rate
- Spearheaded creating 20% more efficient index in Living Repository Initiative, a collaborative venture with Oxford University, contributing to 15% faster project timeline, employed Kafka for real-time data streaming and integration
Software Engineer Intern
- Collaborated with 8-member cross-functional team to design and implement scalable web applications using Spring MVC
- Integrated REST APIs employing OkHttp for JSON data retrieval and processing 100+ API endpoints across microservices
- Configured Spring Boot for enhanced application performance, auto-configuration, embedded servers, and production-ready metrics, leading to 25% response time improvement, enhanced code quality and maintainability using SonarQube
Data Research Aide
- Led accelerated data filtration and cleaning process for Historical Newspapers Databases with over 18000 data points
- Utilized SQL queries and advanced functionalities for pertinent data acquisition, optimizing collection efficiency by 70%, cutting testing time by over 75% through automated testing and web scraping with BeautifulSoup4 and Selenium
Software Development Engineer Intern
- Engineered Personal Cloud Storage System utilizing Amazon Web Services– S3 Bucket, cutting storage costs by 50% and enhancing system reliability by 75%, integrated Jenkins for CI/CD automating build and deployment processes
- Designed and executed CRUD operations for organization’s cloud, yielding 30% operational efficiency boost and decreased server maintenance costs, utilized JIRA for project management and task tracking
- Engaged in agile development environment, driving Scrum implementation and fostering collaborative decision-making
Developed a voice-operated smart assistant for banking tasks using Python, AWS, and NLP techniques. Achieved 80%+ voice recognition accuracy, leveraging NLTK for natural language processing to enhance user experience and automate banking processes.
Contact
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