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Product Manager

Hello there! My name is Shailesh, and I'm thrilled to welcome you to my site. I'm a dedicated problem solver, and I'm passionate about collaborating on complex problems and coming up with digital products to address them.
Whether you're looking for a creative solution to a tough challenge or you need help bringing your digital product to life, I'm here to help. So please take a look around, get to know me a little better, and I hope we can work together to make your next project a success.

Projects

Burgwalden

2022-23

Subscription based Market Intelligence SaaS platform for the $50bn Language Learning Industry

  1. Discovery: MoM tests with CEO & clients; identifying needs
  2. Definition: Strategy & feature list with CEO & team
  3. Development: Established processes and led a team of 6
  4. Delivery: MVP for a data driven market intelligence SaaS platform, built a remote team and processes from scratch

Universal Consulting

2021-22

Consulting - marketing strategy, go-to-market and portfolio consolidation projects

  1. Discovery: low stroke footfall, low genetic testing, consolidation for a client
  2. Definition: marketing strategy for stroke injection, GTM for a new genetic testing product, GE-Mckinsey portfolio analysis
  3. Development: In collaboration with other consultants and primary research with SMEs
  4. Delivery: Specific strategic reports

Ai Health Highway

2020-21

AiSteth is a next-gen smart stethoscope that helps you see the sound on your smartphone and detect anomalies with Ai/ML integration.

  1. Discovery: Novel mobile-based visualizer for heart sounds; which are cleaned and denoised
  2. Definition: Research on algorithms for denoising, segmentation, and visualization
  3. Development: Led 1D/3D visualization efforts
  4. Delivery: Denoising and visualization techniques with 2 papers published in IEEE: DOI: 10.1109/EMBC46164.2021.9629596 and DOI: 10.1109/EMBC46164.2021.9629556

Niramai

2017-20

Tumor depth estimation, analysis and visualization

  1. Discovery: No internal thermal visualization and depth analyser
  2. Definition: Depth Calculation based on heat transfer analysis with CEO & ML team
  3. Development: Led research on simulations, hosted them as microservices on AWS
  4. Delivery: Scientific Visualizer & depth analyser to assist doctors in visualizing a malignant breast

Experience Timeline

Having a research mindset is crucial for making data-driven decisions, involving stakeholders and customers, and exploring product features in depth. As someone with a research background, I value these principles. However, I've also learned the benefits of adopting a 'lean startup' methodology and mindset. Finding the right balance between lean methodology and deep research is key to the success of a Minimum Viable Product (MVP). In my experience, it's this balance that drives success in product development. Please find below my experience timeline wherein I had to learn this the hard way.

Burg logo
Burgwalden (Germany)
Product Manager, 2022-23 (Remote)
Burgwalden with its 10+ years of experience as a financial advisory firm serving the global language industry wanted to build a novel, SaaS platform with language provider's data that could help in taking data-driven strategic decisions. It was also built ground up with the help of a young remote team in India! As the first hire, I was responsible for the product, right from conception to MVP.
Deliverables:
1. Wrote PRDs with the CEO guided by MoM test calls with Burgwalden's clients.
2. Set up a remote team of 6 that build the ForaFera MVP.
3. Established and managed processes based on Agile principles.
4. Assisted in Sales, and developed digital marketing strategies.
5. Built internal tools with Webflow, Retool, GDS, Bardeen.
UC logo
Universal Consulting (Mumbai)
Consultant, 2021-22 (Remote)
Universal Consulting is a 29 year old Indian strategy consulting firm based in Mumbai. During my stint in UC, I was a part of 3 engagements:
Projects:
1. Portfolio analysis, consolidation, revenue forecasting, competitor analysis, geographical analysis of an African based multinational conglomerate with multi-sector operations across various industries.
2. Marketing Strategy for a stroke injection in top tier Indian Hospitals. Detailed market analysis, segmentation, hospital profiling specific to Stroke.
3. India specific go-to-market strategies for new generation genetic testing products; specifically on reproductive and genetic health.
Deliverables:
1. Portfolio analysis determined by GE-Mckinsey matrix based on industry attractiveness and competitive strength for multiple sectors across various African geographies.
2. Revenue forecasting determined by ROCE & EBITDA analysis based on the company's balance sheet, P&L statements, etc.
3. Marketing blueprint for stroke reachout in top tier Indian hospitals.
4. GTM strategy for a new genetic product in reproductive health catering to metropolitan cities.
Ai Highway logo
Ai Health Highway
Sr Research Associate, 2020-21
Ai Health Highway has designed & manufactured AiSteth (Ai-enabled smart stethoscope) that has the potential to screen, detect and predict heart and lung disorders using state-of-the-art signal processing and ML capabilities. The goal is to empower doctors to auscultate accurately with ease. Here again I was the first hire and tasked with creating a visualization product that can help 'see the sound' on a smartphone. I worked closely with signal processing experts at IISc (professors and PhD students) and data science colleagues to build algorithms for denoising, classification and visualization on heart sounds (normal & abnormal). I collaborated with doctors to collect data and understand the product requirements and developed a PRD for visualization.
Deliverables:
1. Two scientific publications in IEEE.
2. Algorithms for visualization of denoised heart sounds.
3. Setting up data collection processes and AWS storage for audio files.  
Niramai Logo
Niramai
Research Associate, 2017- 20
Niramai detects breast cancer by using thermal imaging. The team had developed ML algorithms that analyse skin surface patterns to detect malignancy and were searching for ways to get the depth of the tumor. I was hired to develop 3D analysis which can calculate the depth of the tumor and also build a three dimensional visualization that can help doctors make better screening, diagnostic and prognostic decisions. I was in-charge of 'Depth' as a product and worked closely with doctors, ML colleagues and professors to develop a simulation that generates the internal heat pattern of a malignant breast using which depth analysis and visualization can be done.
Deliverables:
1. Developed numerical simulation models to mimic heat transfer inside a breast based on heat transfer analysis and built on open source software like OpenFOAM.
2. Built a visualization platform, based on open source scientific visualization framework ParaView, that could assist doctors to visualize a breast.
3. Hosted simulation and visualization as Docker Containers on AWS.
4. Developed a Flask application which enabled these services to be invoked via an API.
5. Set up the research and processes and led a team of 2 interns.
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Master of Science (France)
Thermal & Energy Sciences, 2014-15
1. One of 5 students in a batch of 20 selected for dual degree Masters - Dual Degree Program for M1 and M2 research under an MOU signed between Polytech Nantes and UPES.
2. One among 3 to be awarded 100% scholarship, the ’Double Diplome Scholarship’ by Region Pays De La Loire, France.
3. CGPA: 3.16/4.00
UPES logo
M.Tech
Computational Fluid Dynamics, 2013-15
1. Worked as Teaching Assistant to the Dean of the English Department.
2. Helped organise a National Level Symposium for English Teaching.
3. Summer Internship in the Aerospace Department, IISc.
4. Advanced training in Computational Fluid Dynamics under Dr. KP Singh retired ADA Scientist.
5. CGPA: 3.15/4.00
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NTT Data
Software Engineer, 2012-13
Manual Software testing engineer for a Pharmaceutical client; performed end-to-end testing of Rx processing, ad/hoc testing and wrote test cases as required.
Deliverables:
1. Wrote test cases for Pricing and Inventory management.
2. First to perform a newly introduced concept of ad hoc testing.
3. Took up inventory model from senior quality engineers in the US.
4. Documented and conducted trainings on the Inventory test suite.
VTU logo
BE
Mechanical Engineering, 2008-12
Bachelors of Engineering in Mechanical Engineering under Visvesvaraya Technological University.
Won 'First' place in National Level Paper Presentation - Composite Materials.

Skills

Through self-study or through colleague help, I have learned/re-learned different tools, frameworks, languages, processes and skills over the last 7 years. I have consciously tried to equip myself with skills that could place me as a bridge between business and technology, for ex: low/no code tools to help develop, design, visualize and analyze data to quickly prototype business requirements and communicate those to respective teams. I have  divided the skills into these 4 broad buckets:

Product Management

Low/No code tools

Programming & Data Analysis

Cloud & DevOps

Business: Product Discovery, GTM, Revenue Forecasting
Web Dev: Frontend - Webflow
BI: Google Data Studio, PowerBI
AWS Compute: EC2, ECS, Fargate
SLC: Design Thinking, Agile, PRD
Web Dev: Backend/DB - Retool
Programming: Python, Matlab
AWS Storage: S3, EBS, ECR
Tracking: Jira, Confluence
Web Dev: Design - Figma
Frameworks: Numpy, Pandas
AWS Network: ACM, Route 53, ELB
Marketing: Digital, Customer Profiling
Web Dev: Prototyping - Balsamiq
Simulations: OpenFOAM, Ansys
Google Cloud: Maps API, Analytics, SSO
Market: Sizing, Competitive Analysis, Portfolio Analysis
Web Dev: 3D Modelling - Blender
Visualization: Paraview, Matplotlib
Containerization: Docker
People: Hiring, OKRs, Articulation
Documentation: Latex
OS: Linux, Windows
Version Control: GIT, Bitbucket

Let's work together to make a difference!


Looking for a research driven, startups-drilled, design focussed, execution led strategist who wants to build products for people? If yes, I would love to hear from you.

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