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Program/Product Management & Consultancy

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Through all my roles I have held in my professional capacity, I engaged a huge amount of Program and Product Management, in collaboration with my technical skills.

PM Specific
Cloud Security Engineer
Seattle, Washington
Threat analysis and Hardening Team
Tell me a bit about the PM aspect of the job?
Working on the Data tagging initiatives with cross-functional teams all across the company, to identify owners for the Amazon Web Services S3 buckets.
Software Engineer
Redmond, Washington



Cloud and AI Data Intelligence Team

Data Intelligence and Analytics


Tell me a bit about the PM aspect of the job?

My Data team consisted of all teammates including me working as independent resource to work cross-functionally with stakeholders including Program Management teams, Development teams, Data Science teams and Senior Leadership on various Projects, backed by Data as Project leads, as per Business asks. Projects would be ranging on determining if a product should be built, based on data, conducting experimentations, A/B tests and Data analytics and understanding/predicting  Customer churn or uptake.

Coming up with metrics and measures to define product heath, progress, success and insights like How many user clicks on this particulate stage and also building Machine Learning models for better predict what future Monthly Active numbers look like for to be released product. Sometimes the Business asks are very broad and open ended and its upto me to define the problem. Then I would usually collaborate with all my stakeholders to understand the product, its working, features, pain-points better to come up with features and product metrics. I would also collaborate with the Data folks to identify the data streams which can be used. Eventually write a spec doc and design doc consisting of the painpoints, what we are trying to build, roadmap, assigning ETA for each task, the architecture, the metrics, roadmap, design sketches and how it would be evaluated with all the necessary information in a doc. Then I would hold a meeting to review that document with all the stakeholders to make sure everyone is on the same page. Then I would do the Software Engineering, Data Engineering, Data analytics, Data Science and Machine Learning work. Throughout the process, I will interact with Stakeholders on whats being built to inculcate feedback. Eventually when I have the results, I will present the results in the meeting and explain why it makes sense and how it makes an impact on the Business.

Additional PM work - 

  • Took Customer support calls for Windows to better understand Customer Pain points and how Windows can be improved.

  • Worked on identifying Business Problems that can answered through the data, my data team owns.

  • Was able to come up with a new number of a particular feature for Windows which changed all domain knowledge dependent computations hugely into a much more effective data driven approach.

  • Collaborate Crossfunctionally with Data Science teams with my business hypothesis and following up on the work consistently and eventually transitioning their results and work to our team.

  • Evaluated through data if certain windows features should be shipped based on the Data available.

  • Identifying errors through Data measures and escalated that with Product and Dev teams.

  • Presented the Hackathon Project at the Science Fair to potential teams and collected feedback from the product on painpoints, possible integrations in alternate domains and next steps.

Impact made: 

  • Brought down metadata authoring issues by 21% 

  • Reduced Processing time by 90% by taking the initiative to building and automating the Sampling Script for the team to sample from terrabytes of Data.

  • Evangelized and Pitched our Hackathon project to Senior Leadership and it will be shipped in the next iteration.


​(November 2016 - present)

  1. Led a team to build a Fake news detecting Chrome extension "Project Fib", Google Moonshot Prize winner at HackPrinceton 2016

  2. Facebook F8 Scholarship 2017

  3. Featured on Business Insider, Washington Post, The Next Web, Mashable, Huffington Post, Microsoft Blog, Wired, Hacker News, Fortune, CNN, BBC, CBS, CBC News, Bloomberg TV, Boston Globe etc -

  4. Invited to "Forbes 30 Under 30 Conference" 2017 for the work 50K User Requests per min, 650 stars on Github and 20K Dev views on Github page on 1st week

  5. Won Grinspoon Entrepreneurial Concept Award 2017

  6. Link -

Tell me what about the PM Aspect of the role?

  • Problem Identification & Background Research - Identified the problem by going through a Techcrunch Link at that time, right after US Elections when Social Media Companies didnt want to take the responsibility for Fake News. So i did some Customer research online to understand the Painpoint and saw that Fake News was also affecting threatening Life and Death Situations like Fake News on Medicines.

  • Hiring & Pitching Idea - Worked on finding people at the Hackathon with the right skills for the project, pitched my idea of building an system for detecting Fake News.

  • Brainstorming & Market Research - We further brainstormed on the idea and did some market research to make sure I wasnt reinventing the wheel and if there are other products out there. We were the first people to go anything like this.

  • Creating Roadmap for MVP  - I was able to come up with a Roadmap to build a Minimum Viable Product of how the product design should look like, what are its PO and P1 features, what sort of implementation details and APIs can be used, what the architecture should look like,  what ETA would it take for all, what demo scenarios should work and was able to divide the work into my teammates based on previous skillsets.

  • Agile Process - I implemented various checkpoints to make sure the team was on track and reiterated and redistribute if anyone was blocked. Eventually We were able to present it at the Science fair and win the Google Moonshot prize.

  • Outreach and Marketing - Further I took over the Outreach for FiB and since the project was an overnight success worldwide, I took several interviews from various News Publications worldwide like Washington Post, Mashable, The Next Web etc to able to evangelize our product to the masses.

  • Business Decisions through A/B Experimentations - Released A/B test features to see how Customer uptake looked like and made major infrastructure changes based on it to cut costs.

  • Customer Survey and feedback integration - Released a beta to a segment of users to incorporate feedback before releasing our official product.

  • Business Plan & Fundraising - Worked on creating a Business Plan for the product and pitching it and fundraising through VCs, Investors and Media Companies to understand if they would like pay for a product like this and how much they would pay - Monetization Strategies.

  • Face of the Product - Represented FiB in several Conferences like Facebook F8 Conference, Techcrunch Disrupt, Google I/O, YCombinator Female Founders Conference etc. Also pitched FiB at the Innovation Challenge 2017 by Berthiume Center for Entrepreneurship and made it to the finals.

Software Engineering Intern,


Redmond, Washington

June 2016 - September 2016

Drove automation of data collection & transformation pipeline from various on-premise telemetry streams to Cloud, on the Windows Servicing & Delivery Data Analytics team, for future iterations of Windows Updates predictive models Collaborated with the Windows Devices Group Datascience team and Implemented Windows updates predictive models for various updates revisions(including the anniversary update).

Tell me a bit about the PM aspect of the job?

  • Was able to come up with the perfect list of features that would be necessary to pick from an array of streams by collaborating with the domain experts of the feature teams and understanding the problem better, before going through the Data Science process.

  • Collaborated with the Data Science team to build the innovative way to understand user uptake numbers by identifying common goals and strategies and combining the work.

  • My team was blocked on a feature because it wasnt available. I escalated it by reaching out to the product manager and devs on that particular product to see how we can use their product better to fit our use-case and if there is any dog-food that we can use.

  • Started the Project "Pedestrian Go" for Oneweek Hackathon - 

  • Pitched the idea and cold-emailed over 150 hackers registered on this site for Oneweek for that project, based on their skills listed on the site. Interviewed each person individually to finally hire developers, Designers, Video Marketers, Marketing folks and Content writers on my team.

  • Did Market and Customer survey to understand stats and painpoint of Pedestrians, researched which products are out there in the market and what % of market share do they own and identifying how to place our product so it can stand out. 

  • Identified that Bing doesnt provide Pedestrian data publicly, reached out to the teams to find out what would be the most effective way of getting Map data. Decided to integrate the system architecture of using OpenStreetMap data along with rear camera to gain a more accurate perspective of Cross walks and Street walks.

  • Created the roadmap, design document, mocks and divided the work with the folks on the team. Create checkpoints and backup plans to be on track. Did the machine learning side of it.

  • Created a Marketing product video with the Marketing person and presented at the Science Fair where I was able to find real customers for the product like People with Disability stopped by the booth to try it. Had also sent out ton of marketing teams before the science fair to brute force reach more and more customers.

  • Pitched it to Senior Leadership folks. 

Network Security Intern,


Built a virtual IT technology test lab for the company, by installing and virtualizing various OS & configuring networks in the Data Center using Juniper SSL VPN, No-IP and VSphere ESXI

Tell me a bit about the PM & Consultancy aspect of the job?

  • Worked cross-functionally with Finance Department on generating LPOs & reports

  • Worked with  the pre-sales team on creating user profiles, segmentations and designing product bundles recommender systems based on Market Survey and User Analytics

  • Worked with Sales Team on talking to Customers, Understanding their IT Infrastructure and how Paramount's Offerings can fit.

  • Worked with the post-sales team on Customer Engagement Research - driving Business Decisions

  • Worked with HR Department on generating & monitoring Employees Database, writing Job Descriptions & scheduling interviews.

  • Exhibited at GISEC event as well as on Onapsis SAP Security event, to talk to customers about products offered by Paramount and generate leads.

IT & Consultancy Intern

CEM Business Solutions

Dubai, UAE

  • Leveraged the product based training on Cloud Based Microsoft Office 365 and Business Intelligence softwares like Microsoft Dynamics CRM, ERP - AX & CEM AX Payroll, to interact with Customers, understamd their IT Infrastructure, see where Dynamics and Office 365 can fit in and further generate leads & opportunities and create Customer Centric reports.

In all Hackathon Projects, apart from being the dev, I also served as a Technical Program and Product Manager.
These were my responsibilities - 
1. Pitching the Idea at the Hackathon. If its working on someone else's idea, so working on integration of my possible ideas. For example, at GameJam, I was able to provide a new direction to the VR Experience we were building.
2. Hiring people with the right skills on my team like Backend Engineer, Frontend Engineer, Designer, Data Scientist or any specific skills, as per requirement. If I am unable to find, I would generally learn the skill on the fly and do that technical coding part..
3. Finding possible integrations of ideas from other teammates with my idea. Brainstorming and coming up with a list of ideas of how a problem can be solved.
4. Conducting Market Research to see who the competitors are, what are the customers pain point in the area, what revenue are generated, what should be the Unique selling point of our project?
5. Picking what we think is the best idea moving forward in the scope of the Hackathon.
6. Validating the Idea with users through Online surveys or posting it on reddit or gorilla marketing at the Hackathon spot to see who else would adopt a product like this and how much they would pay. Example - Went down to talk to bars and restaurant chains in Capitol hill if what are their pain points in checking IDs and if they would adopt our product and much they are likely pay or if they would pay or who do they think should pay for something like this?
6. If we get unexpected feedback from Step 6, goto Step 5 until we have found a good idea. 
6. Discussing the algorithm or system through UI Mockups, Architectural designs, design tradeoffs to see how each page would like, if its an app, how input output would look like if its an api. Walking through the steps and breaking the algorithm down into much granular process to see each smallest parts are already implemented online by other APIs or tools or what would be needed by a dev to develop, whats the financial impact for the API cost etc. 
7. Finalizing on the Roadmap, MVPS, test cases and creating checkpoints to make sure there is a backup plan at each point, incase something isnt functional or cannot be implemented. Deciding on P0 and P1 features. Assigning projects to each teammates based on their skills. Taking the technical part of it too.
8. Checking in every few hours to make sure, noone is blocked and everyone is on track. Re-assigning if anyone is blocked. Pausing to help or finding and bringing in mentors and debugging if anything needs immediate assistance. Reverting back if an idea fails.
9. Pitching it with the mentors available meanwhile to get more and more feedback while in the process on what needs to be added.
10. Integrating all pieces of it together and having sure it runs all test cases and user scenarios decided upon.
11. Worked on creating a Pitch deck which would incorporate the problem statement, why we are building, stats, customer feedback results, surveys, the UI Mockups, the USP of the product and SWOT analysis on why its better than other competitors, our financial price point, discovered upon user survey and market supply/demand and pitching it along side with demo.
12. Based on feedback, reiterating and working on integration of P1 features and building it to production.
13. Working on outreach and Marketing Videos. Deciding upon our go-to-market strategies and adopting them. Deciding on scaling of resources based on User Demand.
14. Based on the product response, conducting A/B tests, releasing Beta to refine the product.
15. Collaborating with Media folks to get it out in the Market with real Customers.
16. Open-sourcing to create more engagement.
17. Coming up with better Price-point by engaging with new Customers.
Here are some of the pitch deck links -
1. Hack for Heathcare
2. ID FREE -
3. GameJam -
4. FiB -
Here are few idea jam docs, I made at Hackathons -
You can find some of my Hackathon Projects here - 
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