Sep 2025 – Dec 2025 · 3 mos · Noida, Uttar Pradesh, India · Hybrid

May 2023 – Sep 2025 · 2 yrs 4 mos · Remote · Remote

• Leading the Vikings team, delivering end-to-end solutions spanning data engineering pipelines to complex backend systems.
• Engineered a robust graph visualization framework using JanusGraph to showcase intricate connections among financial transactions, customers, and accounts. System handled millions of nodes and billions of edges.
• API performance improvement by a factor of 10x using various indexing techniques and code optimizations.
• Technologies Used: Python, Scala, Spark, Kafka, HBase, ScyllaDB, Janusgraph, AWS, Elasticsearch

Apr 2021 – Apr 2023 · 2 yrs

• Project: Corelight (Formerly - PatternEx)
• It provides network security using machine learning and AI. Various predictive algorithms are used to detect threats by processing huge volumes of data using various data pipelines.
• Technologies Used: Python, Flask, Scala, Spark, Kafka, Databricks, AWS, Elasticsearch, NewRelic, Terraform, GraphQL
• Achievements/Tasks
• 1. Leading a team of developers to deliver various milestones with top-notch quality in a timely fashion.
• 2. Optimized complex Spark jobs, used for model prediction, with a performance improvement of 5x.
• 3. Figured out an issue in our application due to Spark partitioning and helped saved thousands of dollars per month in s3 costs.
• 4. Handled migration of existing python based REST APIs to AWS Appsync.
• 5. Created an application monitoring framework using Cloudwatch, New Relic, Humio and terraform.
• 6. Mentored team members, and gave multiple technical sessions and training. Taking technical interviews and finding the right talent for the organization.

Oct 2018 – Apr 2021 · 2 yrs 6 mos

• Project: Corelight (Formerly - PatternEx)
• It provides network security using machine learning and AI. Various predictive algorithms are used to detect threats by processing huge volumes of data using various data pipelines.
• Technologies Used: Python, Flask, Scala, Spark, Kafka, AWS, Ansible
• Achievements/Tasks:
• 1. Creating huge data pipelines and processing extremely high volumes of logs using various tools and frameworks.
• 2. Migrated the entire python codebase from python 2.7 to python 3.7. I also made sure that the pre-existing python ML models didn't fail.
• 3. Singlehandedly handled migration of jobs from Spark 2.x to 3.x.
• 4. Implemented complex configuration management system using Protobuf and REST APIs.
• 5. Extended application logging to integrate Kafka as well as AWS Cloudwatch. Implemented RBAC framework for all the REST APIs.
• 6. Engaged in various ML and Big Data training sessions while also leading my group.

Oct 2015 – Oct 2018 · 3 yrs

• Project: PatternEx
• Key responsibilities:
• 1. Demonstrating exceptional coding skills along with the ability to architect and engineer scalable, efficient solutions from inception to deployment.
• 2. Collaborating with clients to comprehend their vision and gather comprehensive requirements.
• 3. Contributing to architectural decisions and strategizing the implementation roadmap for bringing products to fruition.
• 4. Maintaining up-to-date skills and knowledge in an ever-evolving technological landscape, continuously learning and embracing new technologies.
• 5. Occasionally engaging in job interviews to assess potential candidates.
• 6. Conducting thorough code reviews to ensure code quality and adherence to best practices.
• Project: PatternEx
• Provides network security using machine learning and AI. Various predictive algorithms are used to detect threats.
• Achievements:
• 1. Reduced the load time of React application from ~50 seconds to ~1 second.
• 2. Integrated Google Safe Browsing for malicious domain detection in our ML pipeline.
• 3. Single-handedly converted a multi-page application to a single-page application with caching for various time-consuming pages.
• Work Description (Back End Developer) (March 2016 – 2018)
• Processing extremely high volumes of logs using various tools.
• Working on big data and distributed systems
• Working on prediction models and ML algorithms
• Writing REST APIs
• Technologies Used: Python, Flask, Scala, Spark, Logstash, Kafka, Zeppelin
• Work Description (Front End Developer) (2015 – 2016)
• Creating a responsive and fast single page application to present high volumes of dynamic and volatile data in a seamless and strategic manner.
• Incorporating various charts in the project for better visual representation of data.
• Creating a node.js application that acts an intermediate server between the backend APIs and the react application.
• Technologies Used: Javascript, Node.js, Express.js, React.js, d3.js, jQuery