* Led the design and implementation of software solutions powering TV services for cable providers, overseeing the work of cross-functional teams to deliver projects on time and within scope.

* Managed a team of engineers by mentoring, setting performance goals, and conducting regular one-on-one meetings to foster growth and accountability.

* Collaborated with global teams across time zones to ensure alignment on technical and business requirements, driving seamless integration of features.

* Architected and developed scalable microservices leveraging AWS, Java 8,11, Spring Boot, RocksDB, and Apache Kafka, serving millions of API requests per second and supporting millions of concurrent users

* Automation of infrastructure deployment and management via Terraform in the AWS cloud.

* Facilitated technical decision-making by organizing design reviews and presenting trade-offs to stakeholders, balancing innovation with practical constraints.

* Provided technical leadership in resolving customer-facing issues and optimizing system performance, reducing incident resolution time by 30%.

* Spearheaded the implementation of monitoring and troubleshooting tools like Splunk, improving operational reliability and enabling proactive issue detection.

• Developer advocate of Watson technologies, AI and Machine Learning

• Created open-source code patterns to help developers get started with artificial intelligence and data science using Watson, IBM Cloud, and open source products.

• created bots using Watson technologies

• created multiple applications to showcase IBM cloud services using technologies like java microservices, Docker, Kubernetes, and Openshift platform

• Created Content around the code that helps developers such as articles/tutorials/blogs/learning paths, youtube videos

• Participates in giving tech talks, conference talks, workshops

• Implemented a level 1 and level 2 Kubernetes Operator for JanusGraph using Golang and documented the process to help IBM's partners migrate their applications to Kubernetes and OpenShift Container Platform.

• Lead hackathons, workshops and spoke on conferences showcasing demo applications built using Kubernetes operators, Financial Services Cloud, and IBM cloud services.

• CI/CD using Tekton pipelines to deploy Java spring boot and NodeJS based microservices and HyperProtect DBaaS for PostgreSQL and traffic management with ISTIO

• Implemented AR-based resume and flight tracker using Swift, Java, and IoT to showcase Augmented Reality (AR).

• Created applications for financial services vendors to showcase security using financial cloud services using IBM Cloud technologies like IBM Hyper Protect Crypto Services, IBM Cloud Hyper Protect DbaaS.

Chalchitra TV is a video streaming platform for Nepalese content. The platform streams Nepalese movies, TV shows, Documentaries, Short movies. The content was streamed through the web app, mobile devices (iOS and Android), and TV app. The platform also consisted of a Web app for movie producers/vendors to track their revenue and views through various devices. Chalchitra TV has Pay-Per-View and Free content to stream.

* Raised 100K for the initial round.

* Lead the engineering team that developed the mobile, TV, and web platform.

* Architected mobile platform, Web, TV, and Backend platform.

* Built a pipeline for processing movies for streaming using AWS Elemental media convert, lambdas, state machines, S3, Dynamo DB, and use AWS media package to stream to various devices in all regions using AWS CloudFront using popular technologies, HLS and DASH

* Built mechanism to secure content using DRM technologies for web, android, iOS, and TV app using Widevine, Playready and Fairplay DRM technologies.

* Implemented ReactJS and Java-based web app for admins and producers to upload movies for processing.

* Managed multiple teams building frontend, backend, analytics, admin apps,

* Implemented Microservices architecture to serve data to users all around the world.

* Used AWS Route 53 to serve content to various regions by dividing traffic into multiple servers.

* Used Forensic Watermarking Technology to protect content from being pirated.

* Implemented Stripe APIs, Nepalese Wallets (eSewa, Prabhu Pay, IME pay), Brain Tree integration for US and international-based payment transactions.

• Implemented programmatic Ad solutions for Television

• Architected ETL process loading huge data from DSPs using Redshift into spark hdfs cluster

• Automated batch processing of files using spark Hadoop and HDFS

• Real time data processing and fetching from EMR clusters using Hadoop ecosystem.

• Performance enhancement of existing algorithm with Redshift database