LinkedIn
Software Engineer (May 2022 - present: Bay Area)

I work in the Productivity Engineering org for the Marketing Technology team that serves as a centralized hub for lead capture, data enhancement, data matching, filtering, prioritization & routing. 
My current project serves to facilitate the flow of incoming LinkedIn sales leads from various sources to their handoff to the Sales Development team thus generating billions of dollars in revenue for the company. 

I look forward to design, lead and implement intelligent in-house leads recommendation and routing system and other smart products that aim to make marketing engineering at LinkedIn a better place.

LinkedIn Lead Generation




Meta
Software Engineer (Oct 2021 - May 2022: Bay Area)
I worked with the CPX Creation Expressions team on building the next gen Meta Business Suite (MBS) that lets you manage all of the connected accounts across Facebook and Instagram in one place. 
MBS offers a variety of tools that makes it easier to manage creators business presence for free.
 MBS helps Creators & Publishers reach more people and stay up-to-date, while they manage their business presence in one place. 

Meta Business Suite



Facebook
Software Engineer (July 2020 - Oct 2021: Bay Area)
• I worked with the Creator and Publisher Experience (CPX) team specifically on Creator Studio which is the first and only stop for publishers and creators to easily create, manage and monetize their entire portfolio of content (text, links, photos, videos, stories, and upcoming formats) across the entire Facebook(FB) and Instagram (IG) ecosystem.

• Publishers/Creators will be able to post their content across many distribution channels like News Feed, Stories, Groups, Instagram to reach their community.

• They will use our insights to understand which pieces of content are performing best for their community, and who makes up their community.

• They will engage with their audience effectively and efficiently through inbox which is a one stop shop for responding to all FB and IG feed comments and DMs thereby strengthening their relationship to their communities.

• If you are an admin of any page - just give it a try: facebook.com/creatorstudio


Amazon Alexa
Software Engineer (Feb 2019 - July 2020: Bay Area)

Alexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. As a Software Engineer with Alexa AI team, my mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech
Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers. I partner with scientists, platform & ML engineers, solution architects to help design, implement and connect sophisticated algorithms to our cloud based engines.

As one of the early engineers with this team, I worked (mostly single-handedly) on creating the core pieces of the skill authoring portal for Alexa Conversations Developer Experience preview which is a new deep learning-based approach that developers can use for creating natural voice experiences on Alexa with less effort, fewer lines of code and less training data than before. This new skill authoring experience helps developers create natural, flexible, multi-turn dialogs within a single skill and also helps them seamlessly integrate multiple skills into a single conversation without the need for explicit skill invocation and unnecessary context repetition. Alexa Conversations developer portal combines an AI-driven dialog manager with an advanced dialog simulation engine that automatically generates synthetic training data. The skill authoring portal that I built collects API definitions, provides an annotation tool for annotating sample dialogs that include the prompts that you want Alexa to say to the customer and also collects all the actions you expect the customer to take without imposing much cognitive overload to the developers interacting with the tool. Alexa Conversations downstream services uses this information to generate dialog flows and variations thus learning the large number of paths that these dialogs could take.


Amazon
Software Engineer (Feb 2016 - Sep 2017:  Seattle, Oct 2017 - Jan 2019: Bay Area)


Amazon’s mission is to be the world’s most customer-centric company and the retail website homepage is how millions of customers begin their interactions with Amazon every day. I am humbled to have worked in the retail org with the global team responsible for designing, developing and shipping one of the world’s best known retail websites - amazon.com!
Amazon's home page and platforms serve our customers and internal teams globally and across devices. I designed and developed extremely high-performing platforms, pages, static and personalized widgets & an in house CMS that respect locale specific needs while also achieving scale and re-usability. I was a full stack developer with this team where I contributed to creating customer value from massive amounts of data, ensured that our features scale to support all relevant business needs, contributed to the integration of our systems with the overall Amazon ecosystem and collaborated with engineering teams at Amazon who leverage our platforms and pages.



Electronic Arts
Software Engineer Intern (May 2015 - August 2015) - Austin

As a Software Engineer Intern with the Digital Platforms Infrastructure team, I created a service for the open source
architecture Graphite (Time series metric monitoring) using vRealize Automation Application Services 6.2, where I automated the complete application provisioning in the cloud including deploying, configuring and updating the application's components and dependent middle ware platform services on infrastructure clouds. On a higher level, I worked with the team to manage the data center and operations infrastructure to support EA's digital interactive assets. I assisted the team in automating server builds, deployment, monitoring, alerting and other orchestration needs. I was also be responsible for understanding which workloads are better suited to be run efficiently on public cloud or on
a mixture of public and private cloud to drive down cost of hosting, increase quality of service and provide agility to react to the business growth.



Arizona State University
Student Instructor (Aug 2014 – Dec 2015)
I was the instructor for the CSE 205 online course “Object Oriented Programming and Data Structures using Java” and CSE 110 online course "Principles of Programming with Java" 

Graduate Research Assistant (June 2014 - Aug 2014)
Under the guidance of Professor Dr. Subbarao Kambhampati, I investigated the incorporation of a general planning capability into the robot to facilitate peer-to-peer human-robot teaming, in which the human and robot are viewed as teammates that are physically separated. I also performed an analysis of human factors on the effectiveness of proactive support for human aware planning in human robot teaming. I performed the evaluation in a simulated USAR task, in which the efficacy of teaming is not only dependent on individual performance, but also on teammates’ interactions with each other.


Graduate Teaching Assistant (Jan 2014 – May 2014)
Graduate Advisor: Professor Dr. Subbarao Kambhampati


Indian Institute of Management - Ahmedabad
Research Associate


(Aug 2013 - Nov 2013)
Guide: Professor Dr. Sachin Jayaswal
Research Project: Freight Allocation problem with Lane Cost Balancing Constraints using CPLEX and C++. 



Indian Institute of Technology - Madras

Summer Research Intern


(May 2012 - Jul 2012)
Guide: Professor Dr. Sukhendu Das
Research Project: A Motion-Sketch Based Video Retrieval Using MST-CSS Representation using JavaScript, HTML, CSS and MATLAB.