About Me
My Journey: Expertise, Achievements, and Future Aspirations.
👋 Hi, I’m Pranav Aadhithya Kalaibabu, a Product Manager with experience spanning AI, autonomous systems, deep tech and healthcare. I’m pursuing my Master’s in Engineering Management at Johns Hopkins University.
🌟 Previously, I worked at Comcast as an Associate Product Manager – Machine Learning. I’ve also interned at Torc Robotics (autonomous vehicles), INL Portugal (deep-tech commercialization), and Johns Hopkins Hospital (healthcare strategy).
🚀 Passionate about Software/Technical Product Management & I am actively seeking full-time roles in the realm of Product Management.
Let’s connect and build the future together! 💡✨
Career Journey
Career Highlights and Professional Achievements.
Aug 2025 - Dec 2025
Program Management Intern
Johns Hopkins Whiting School of Engineering • Baltimore, US
Led 15+ high-impact programs serving 4,000+ engineering students, boosting participation by 35% and streamlining execution through cross-functional coordination.
May 2025 - Aug 2025
Product Management Intern
Torc Robotics • Texas, US
Led end-to-end development of a partner onboarding tool, from problem discovery through MVP launch in 10 weeks, reducing ramp-up time by 25% and strengthening product–market fit in the partner ecosystem.
Dec 2024 - Feb 2025
Product Management Intern
INL - International Iberian Nanotechnology Lab • Braga, Portugal
Conducted market research across 10+ industries to shape the go-to-market thesis for VOC sensor technology, translating deep tech into a strategic roadmap that uncovered a $10B+ opportunity.
Jan 2023 - Aug 2025
Associate Product Manager - AI/ML
Comcast • Chennai, India
Defined product roadmap and KPIs for AI personalization system, aligned engineering and business stakeholders, and delivered a feature that increased user engagement by 12% while streamlining ML deployment to save $100K/year.
Education
Degrees and Educational Milestones.
Johns Hopkins University
Master of Science in Engineering Management (MEM)
Aug 2024 - Dec 2025
GPA: 3.7 / 4.0
Coursework:
Management & Strategy:
- Fundamentals of Product Management
- Project Management
- Agile Software Development Methods
- Strategies for Innovation & Growth
- Innovation & Business Design I
- Demand Discovery: Finding and Creating Customer Value
- Managing People and Resolving Conflicts
- Professional Presentations
- Strategies for Accounting & Finance
- Operations Management in Supply Chain Management
Technical & Data:
- Artificial Intelligence
- Machine Learning
- Data Engineering Principles & Practice
- Data Patterns and Representation
Teaching Assistant:
- Product Management
- Reasoning with Data
- Data-informed Strategy and Visualization
- The Practice of Consulting - Coimbra, Portugal
Sri Sivasubramaniya Nadar College of Engineering - Anna University
Bachelor of Engineering in Electronics and Communication Engineering
Aug 2020 - May 2023
GPA: 3.5 / 4.0
Projects
From Concept to Execution: My Project Portfolio.
InsightStream AI – Qualitative Research Assistant
Built a 6-node LangGraph pipeline that extracts feature requests and pain points from customer interview transcripts in under 45 seconds. Every insight cites a verbatim quote, verified by a second LLM pass using semantic entailment. Fail-closed design, unverified insights are dropped before the user sees them. Includes full documentation: AI-Native PRD, Model Card, Data Flywheel, Ethics Charter, UX Spec, and Eval Harness.
Catalyst Community – SSO Implementation Strategy & Roadmap
Led roadmap for Catalyst Community’s SSO initiative, conducting 20+ stakeholder interviews, benchmarking vendors, and applying a scoring framework to deliver a cost model and phased plan that improved security, compliance, and user experience.
PureFlow – Faucet-Mounted Water Filtration System
Defined the product vision to tackle lead contamination in Baltimore drinking water, driving opportunity analysis, solution design, and go-to-market strategy. Collaborated on prototyping, customer positioning, pricing model, and adoption metrics to ensure accessibility, trust, and retention.
Machine Learning for Early Detection of Heart Disease
Developed logistic regression and random forest models using patient clinical data to identify top predictors of heart disease. Highlighted key insights that could support early diagnosis and decision-making in healthcare.
Skills
With my background, I bring a lean mindset to build products fast.
Product Strategy
Roadmapping - Product Vision Mapping - Market Research - Go-to-Market Strategy - Core Value Proposition - Launch Planning - A/B Testing - MVP Validation/Testing - Customer Journey Mapping - Risk Identification, Mitigation & Scenario Planning - Financial Modeling (ROI, Cost-Benefit Analysis) - Documentation - Feedback Gathering - Prioritization - User Persona - Consumer Survey - Product Lifecycle Management - Stakeholder Communication - Agile Methodologies
Product Design
User Research - Wireframing & Prototyping (Figma, Balsamiq, Lucidchart) - UI/UX Design Systems - Design Thinking - First Principles Thinking - Human-Centered Design - Jobs-to-Be-Done (JTBD) - Sustainable Design
Product Execution
Feature Prioritization - Backlog Grooming - Sprint Alignment - Cross-Functional Collaboration - Metrics Definition (KPIs, OKRs) - Continuous Improvement.
Agile - Scrum - Kanban - Sprint Planning - Jira - Asana - Trello - Stakeholder Communication - Cross-Functional Collaboration - Scope Management - Timeline Management - Resource Management - Reporting - Risk Tracking - Budget Tracking - Performance Monitoring.
Tableau - Power BI - SQL - Excel (VBA, Macros, Pivot Tables) - Statistical Analysis - KPI Tracking.
Python (Keras, TensorFlow, Pandas, NumPy, PySpark) - Data Engineering (ETL, Data Cleaning) - Model Deployment - CI/CD - DevOps Integration
AWS (S3, EC2, OpenSearch, Redshift, CodePipeline) - Microsoft Azure - Google Cloud Platform (BigQuery, Pub/Sub, Cloud Storage) - Docker - Kubernetes - Git - GitHub
Leadership Roles
Driving Impact Beyond the Classroom.
Johns Hopkins University
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VP of Outreach & Inclusion
Johns Hopkins Product Management Club (JHPMC)
-
Director of Finance
TEDxJHU
-
Director of Events
Homewood Music Club
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Ambassador
International Students Association Hopkins (IASH)
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International Student Concerns Chair
Graduate Representative Organization (GRO)
Sri Sivasubramaniya Nadar College of Engineering
-
President
Lakshya - Entrepreneurship Development Cell (E-Cell)
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President
IOT / Robotics Club
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President
Instincts - SSN Cultrals
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Chennai President
Youth United Council of India (YUCI)
Testimonials
Endorsements from Those Who Know Me Best.
"Working with Pranav was a genuine pleasure. From day one, he brought a unique combination of deep technical understanding and a clear, user-focused product vision to our machine learning team. I was particularly impressed by how he took ownership of our AI personalization feature... He has a knack for bringing people together and translating intricate technical concepts into clear, actionable plans. Any team would be lucky to have him."
Sudhandira Priya Augustine
Manager, Machine Learning Operations - Comcast
"Pranav joined us in a fast-paced clinical setting, and it was immediately clear he was a quick study with a great deal of empathy. He has a remarkable talent for speaking with everyone from surgeons to administrative staff and making them feel heard... It's rare to see an intern with such a mature blend of analytical skill and genuine human insight. He’s a natural leader."
Mira Yaache
Administrator, Anesthesiology & Critical Care Medicine - Johns Hopkins Hospital
"Pranav hit the ground running from his first day at Torc. He has a sharp eye for identifying the root cause of a problem... Launching a full MVP in just ten weeks that cut ramp-up times by 25% is impressive by any standard. He's a proactive, collaborative product manager who thrives in complex, technical spaces and knows how to get things done. I was consistently impressed by his initiative and his focus on delivering real-world results."
Marta Baneres
Technical Strategist - Torc Robotics
"Bringing a new deep-tech product to market is an immense challenge, and Pranav's contribution to our efforts at INL was pivotal. He has a unique ability to dive into highly technical subject matter and emerge with a crystal-clear business strategy... Pranav’s work provided the clarity and strategic direction we desperately needed, fundamentally shaping our path to commercialization."
Ana Vila
Technology Transfer Lead - INL - International Iberian Nanotechnology Lab
"It's been a pleasure to watch Pranav grow as a leader within the Johns Hopkins community. He is more than just an excellent student; he is a genuine community builder... Pranav consistently goes above and beyond, not for recognition, but because he genuinely cares about creating a better, more engaging environment for everyone. He represents the very best of the collaborative and innovative spirit we foster here."
Sharon Warner
Associate Director of Admissions - Johns Hopkins Whiting School of Engineering
Let's Connect
I'm always open to discussing new opportunities, collaborations, or just chatting about product and tech. Feel free to reach out!
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