Sep 2024 – Oct 2024 · 1 mo · Hyderabad, Telangana, India

• New innovation product ideas and Patent applications

May 2024 – Aug 2024 · 3 mos · Hyderabad, Telangana, India

• Technical Architect / Software Engineering Manager
• Vision - World's first patented no code platform to build solutions using natural language in multi-model input formats.
• Portfolio: Backend Engineering, Gen AI and Data Science, NLP, Deployment, Testing

May 2023 – May 2024 · 1 yr · Hyderabad, Telangana, India

• Senior Technical Lead / Manager
• Role includes
• leading backend engineering roadmap for the web based product team, to help customers build solutions using natural language, without writing any code.
• manage architecture, coding, testing, code reviews, deployment
• lead an engineering team of 14. Involved in hiring, onboarding, training new folks.
• collaboration with other product teams, devops team, IT
• showcase demos to customers
• We intend to build engineering portfolio (introduce new technologies, process, tools) for Brane's product division "Grammar".
• Aim: Simplicity, Automation, Quality.
• This consists of engineering for core product features as well as engineering architectural technology stacks. Engineering technology stack includes microservices, API communication (REST, gRPC, web sockets), data storage (Amazon S3, MongoDB, DynamoDB, PostgreSQL, Neo4j, Milvus), event processing (Kafka), streaming, data caching (Redis), API caching (Fast API caching), code quality (static analysis, code comments, reviews, unit testing, coverage), testing (manual, automation), deployment of services (Amazon EKS, NVIDIA GPU/CPU, Kubernetes, Docker), and much more.

Jun 2022 – May 2023 · 11 mos

• Relocated from United States role to India role.
• We’re delighted and proud to share that Cisco has been ranked as the no.1 Best Place to Work in India for 2022 by the Great Places to Work® (GPTW) Institute. Great Place to Work® is considered the 'Gold Standard' in workplace culture assessment and recognition.

Jun 2019 – Jun 2022 · 3 yrs

• Engineering
• Creating software solutions (application, infrastructure, machine learning) for self-driving networks, network manageability & programmability.
• Involved in design, development, sustenance, handling scrum, operations.
• Leading features such as Model driven commands, display network data in modern templates (xml, json), storage of metadata in network device.
• Tech Stack: Python, PHP, C, Yang, Netconf, gRPC, Linux.
• Intrapreneurship
• Founder of BugBuddy, which provides analytics, automation and predictive solutions to drive digital management of software bugs for Cisco software portfolio. Aim: improve Cisco's 20k+ engineering productivity, save 100M+ annual OPEX cost.
• Handle strategy, execution, discussion with senior executives (Engineering, CX, Finance)
• Innovation
• Member of Ideation team and innovate Cisco's technology for
• Data digitization
• Intent-based networking
• Customer Analytics Platform
• Achievement
• Filed Intellectual Property (defensive publication) for one of the technology innovation.
• BugBuddy selected as semifinalist venture (top 2%) in Cisco Innovation Challenge 2019.
• Won "Data Science Award for Benefitting Humanity" by creating new technology for ethical reporting and prevention of suicide and mental illness. [Team Award, done as volunteer work]

Aug 2018 – May 2019 · 9 mos · Los Angeles, California, United States

• Engineering
• Designed cloud solutions and applications to study the relationship between human brain and human behavior.
• Developed features to upload MRI brain imaging data into Flywheel.io cloud platform, perform data pre-processing, and data analysis in cloud.
• Helped the lab team comprising 18 members, with their Flywheel issues.
• Research
• Using Google cloud for large-scale fMRI data analysis.
• Tech Stack: Python, Bash, Docker, NumPy, Pandas
• Link to website and projects: https://gero.usc.edu/labs/matherlab/

Dec 2017 – May 2018 · 5 mos · Los Angeles, California, United States

• (in collaboration with CAIS, Microsoft)
• Engineering
• Created ML solution for Wildlife Conservation.
• Developed complete GUI application to display real-time activities of national parks captured using videos sent by drones. Animal and poacher detection algorithms run and inform forest officials with appropriate location of animals/poachers to prevent poaching.
• Provided capability to run algorithms in local machine vs remote cloud server according to computational demands.
• Created sampling algorithms to increase prediction accuracy from deep learning results.
• Research
• Research on use of Intel Movidius NCS (Neural Compute Stick) kit to run above application and improve hardware/system performance.
• Tech Stack: Python, Tkinter, OpenCV, NumPy, Tensorflow, Azure
• Reference Links:
• 1. USC Teamcore Research Group (http://teamcore.usc.edu)
• 2. Project Link (https://www.cais.usc.edu/projects)
• Press coverage:
• 1. IEEE spectrum - Project among top 13 tech technologies of 2018 (https://spectrum.ieee.org/robotics/artificial-intelligence/this-ai-hunts-poachers)
• 2. Discover magazine (https://blogs.discovermagazine.com/lovesick-cyborg/2017/12/29/predator-vision-drones-get-ai-to-spot-poachers/#.WmD2dLpFxPb)
• 3. Microsoft Ignite 2020 event (at time 17:22 in (i) https://www.youtube.com/watch?v=ZtAU642PmcE , and (ii) https://myignite.techcommunity.microsoft.com/sessions/87749)

Sep 2017 – May 2018 · 8 mos · Los Angeles, California, United States

• Research
• (in collaboration with USC Professor Dr. Sze-chuan Suen, Los Angeles County Department of Public Health, Japan Government and University)
• Implemented ML as a service to efficiently plan human resources available with Los Angeles Health government for restaurant risk inspections, based on 42 feature set (including reviews, rating, price, ambience, working conditions, violations, others).
• Created statistical algorithms (supervised and temporal ML) to simulate rising life expectancy of Japan population for 45+ year olds (among entire 27 million population) and predict increasing healthcare costs for next 50 years.
• Tech Stack: Python, Matlab, NumPy, Pandas, Beautiful soup, Scikit-learn, Matplotlib.
• Link to project:
• 1. Project on AI for elderly people (https://www.cais.usc.edu/projects/)

May 2018 – Aug 2018 · 3 mos · Sunnyvale, California, United States

• Engineering
• Created solution for security in Juniper's SDN solution (Software Defined Networks).
• Integrated IBM QRadar threat intelligence tool for on-premise threat awareness, with the aim to detect malware as soon as they enter the network for security.
• Developed a platform as PAAS (Platform As A Service), with features such as creating connection with threat awareness tool, user authentication, manifest specifications and versioning, schema design, data retrieval, periodic updates, data storage, and data management.
• Developed a web application to provide control to customers for custom settings (define rules) and provide insights (visualize vulnerabilities).
• Showcased the above solution to IBM and AT&T leaders.
• Innovation
• Invented a new technology to provide automation in threat remediation for network security in user interactive network systems, using machine learning models. This invention has been filed as a patent application.
• Tech Stack: Python, Flask, Swagger, MariaDB, PyUnit, JS

Dec 2015 – Jun 2017 · 1 yr 6 mos · Bengaluru, Karnataka, India

• Engineering
• Created web application (GUI/backend) and SaaS solutions for network management applications for Juniper switches (network device) and security services (Firewall, NAT, IPS).
• Developed cache management microservice using Redis (distributed database) to improve scalability and load distribution for NM applications.
• Innovation
• Co-managed innovation team of 14 to consistently think new ideas for cloud network product and productionalized 2 of these ideas.
• Invented a technology to solve task scheduling in kernel using machine learning. This invention was filed as a patent application.
• Author
• Published tech article to support network management for port channelization in network devices. (Link attached)
• Tech Stack: Java, Python, Ext JS, JSON, REST, MySQL, Redis, JUnit, AWS, Linux, GIT, Perforce, Gnats, JIRA, Jenkins.

Jul 2014 – Dec 2015 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Engineering
• Created Android mobile GUI, backend, and cloud solutions for health tracking and prevention applications (fitness, health, diabetes, obesity, cardio, brain activity).
• Developed a platform (as library and service) to connect and communicate with health sensors.
• Refactored data management for Samsung health services (using Builder design pattern), to improve speed for Create-Read-Update operations on health data by 60%.
• Innovation
• Redesigned system-side task scheduling algorithms for all Samsung embedded systems (printers, laptop, mobile, ...) by creating a DAG based scheduling (new invention after 20 years in this domain). Provided 40% latency improvements in task scheduling operations.
• Worked with Samsung senior executive team to incorporate this solution in Samsung's core embedded systems technology.
• Filed this above invention as patent application and was selected as finalist in Samsung yearly innovation event in 2015.
• Tech Stack: Java, Android, XML, JSON, REST, MySQL, JUnit, Linux, Android Studio, GIT, Perforce, Gnats, JIRA.

May 2013 – Jul 2013 · 2 mos · Mumbai, Maharashtra, India

• Engineering
• Developed virtual chemistry lab application. Being a platform independent solution, it could operate in Android, iOS, web, Akash tablet, desktop with a quick wrapper.
• Collaborated with team to develop solution features for digital education of school students, such as learning lab activities in real-time through online experiments.
• Contributor to ekShiksha: India-->One Country-->One Education
• Link: http://www.ekshiksha.org.in/
• Guided by Padma Shri Prof. Deepak Phatak and supported by India's National Mission on Education through ICT (NME-ICT).
• Tech Stack: Libgdx, ActionScript, JavaScript, HTML, CSS, XML, JSON, MySQL, GIT.