Jul 2023 – Jan 2025 · 1 yr 6 mos · Pune, Maharashtra, India · On-site

• Transitioned legacy code to utilize Open Search in stead of CloudSearch.
• Successfully achieved cost savings of approximately 9 Crores through the
• migration from AWS CloudSearch to AWS OpenSearch.
• Managed on-call responsibilities by quickly resolving critical production issues
• within defined timeframes.
• Utilized Grafana and Prometheus for real-time monitoring and visualization of production metrics to ensure system reliability and performance.
• Conducted in-depth production log analysis to diagnose and resolve critical issues, minimizing downtime and enhancing system stability.
• Developed new features related to multiple Tracelink products.
• Worked in an agile framework, collaborating with the team for story grooming, sprint planning, story pointing, and reviewing story acceptance criteria and performance metrics.
• Actively mentored new joiners during onboarding, offering hands-on guidance, and ensuring that they seamlessly integrate into the project.
• worked on cloud technologies provided by AWS like S3, DynamoDB, SQS, CloudSearch, Redshift, OpenSeach, etc,

Oct 2022 – Jun 2023 · 8 mos · Hybrid

• Designed and developed backend systems for a financial dashboard tool and e-learning mobile application, utilizing Next.js, Node.js, React, and React Native to deliver robust and scalable solutions.
• Architected and deployed cloud-based backend servers using platforms like AWS, ensuring high availability and seamless scaling.
• Implemented CI/CD pipelines to automate deployment, testing, and maintenance processes, reducing downtime and accelerating delivery cycles.
• Processed and analyzed large-scale financial data by creating efficient scripts and workflows, ensuring accuracy and timeliness.
• Optimized backend APIs to handle complex data operations, improving performance and reducing latency for the financial dashboard tool.
• Continuously gained in-depth understanding of system architecture to proactively identify and resolve bottlenecks, ensuring system reliability.

Oct 2020 – Sep 2022 · 1 yr 11 mos · Hybrid

• Worked on an e-learning platform with more than 500,000 active users.
• Developed and implemented features for online and offline support, including content access, exam taking, and certificate issuance.
• Designed and developed several features, including a Voucher System, Certification feature, and various backend APIs, microservices, and UI components for both the website and mobile app.
• Improved voucher searching result speed from 8 minutes to 1.5 minutes.
• Collaborated with cross-functional teams to define, design, and ship new features to the e-learning platform.
• Reduced manual efforts for customers by 100% by developing a new feature called "GitOps".
• Worked on development of translation support for 75+ langauges for the platfrom.

Dec 2018 – Jan 2019 · 1 mo · Pune, Maharashtra, India · On-site

• Created professional and engaging company website.
• Developed a website generator project for creating websites without technical expertise.
• Improved website visibility through search engine optimization (SEO) techniques such as improving website content and structure, researching and incorporating relevant keywords, and implementing on-page optimization techniques.
• Expertise in digital marketing including social media, email marketing and content marketing to drive traffic and conversions to websites.

Jun 2018 – Jul 2018 · 1 mo · nashik · On-site

• As a data scientist Intern, I have implemented multiple machine learning (ML) algorithms to analyze and gain insights from complex data sets.
• I have worked on two ML projects using Python, RStudio, and Jupyter Notebook to develop predictive models and clustering techniques for identifying patterns and trends in data.
• My experience in ML includes working with various algorithms such as linear regression, logistic regression, decision trees, random forests, and support vector machines (SVMs).
• Additionally, I have experience with data preprocessing techniques, feature engineering, and model evaluation techniques to ensure optimal model performance.