92% accuracy
ResumeAI — AI Resume Screener
Full-stack AI product that scores resumes against job descriptions. Built the React + FastAPI MVP, designed the prompt chain, and ran the eval pipeline.
PythonFastAPIReactOpenAIPostgreSQL
Open to APM roles · Summer 2025
Building AI-first products
that users actually love.
I'm Nalini K — an MCA student & aspiring Associate Product Manager. I bridge AI, full-stack engineering, and user research to ship products that move metrics.
12+
Projects Shipped
AARRR · RICE
Frameworks Used
AI · Full-Stack
Focus Areas
APM · PM Intern
Open to
About
A PM who can prototype the thing before writing a PRD.
I'm an MCA student at Chandigarh University with a focus on Full Stack Development, AI, and Product Management. I don't just write specs — I ship the prototype, run the user interview, and look at the funnel.
My PM toolkit: AARRR for funnel thinking, RICE for prioritization, JTBD for problem framing, and HEART for measuring success. I pair those with hands-on work in Python, React, Node.js, and the LLM stack.
Target companies: Google, Microsoft, Flipkart, Amazon, Swiggy — and ambitious early-stage startups where product thinking ships fast.
User ResearchA/B TestingRoadmappingSQLPythonReactNode.jsLLMsFigmaMixpanelNotionLinear
Product Skills
A full PM toolkit, from discovery to launch.
Product Strategy
- Product Roadmaps
- OKRs & North Star Metric
- Market Sizing (TAM/SAM/SOM)
- Competitive Analysis
Frameworks I Live By
- AARRR (Pirate Metrics)
- RICE Prioritization
- JTBD (Jobs To Be Done)
- HEART (Google's UX)
User Research
- User Interviews
- Usability Testing
- Persona Development
- Journey Mapping
Analytics & Experimentation
- A/B Testing
- Funnel & Cohort Analysis
- SQL for Product
- Mixpanel & Amplitude
Technical Skills
- Python · Java · JavaScript
- React · Node.js · Next.js
- PostgreSQL · MongoDB
- REST APIs · LLMs
AI Product Work
- Prompt Engineering
- RAG Pipelines
- Vector Search (Pinecone)
- Model Evaluation
Product Dashboard
How I think about product metrics.
A live-style snapshot of the kind of dashboard I build to track product health — AARRR funnel, HEART scorecard, and user journey map.
Active Users (WAU)
0
+18.2% vs last week
Activation Rate
0%
+12.4% vs last week
D7 Retention
0%
+6.1% vs last week
NPS Score
0
+9 pts vs last week
AARRR Funnel
Acquisition → Activation → Retention → Referral → Revenue
Visited10,000
Signed Up4,200
Activated2,688
Retained (D7)1,130
User Journey Map
From first touch to advocate
- 1DiscoverLands on homepage from organic or referral
- 2Sign UpOAuth in under 30s
- 3Aha MomentFirst AI-generated resume score
- 4HabitReturns to iterate based on feedback
- 5AdvocateShares score publicly → referral loop
Featured Projects
AI + full-stack products I've shipped end-to-end.
4.8★ rating
StudyBuddy — EdTech Platform
AI study companion with spaced-repetition flashcards. Owned the product spec, ran 20+ user interviews, and shipped the MVP to 500+ students.
Next.jsNode.jsMongoDBLLM
3x WAU lift
EcoTrack — Carbon Footprint App
Mobile-first web app helping users track and reduce their carbon footprint. Designed the gamification system that drove 3x weekly active usage.
React NativeFirebaseD3.js
Product Case Studies
From problem framing to measurable outcome.
Product Lead (Student Project)
StudyBuddy
Problem
College students cram the night before exams, then forget 70% within a week. Existing flashcard apps were clunky and ignored spaced-repetition.
Approach
Ran 20+ user interviews. Built a JTBD statement: 'When I'm prepping for an exam, I want to retain key concepts without re-reading, so I can walk in confident.'
Outcome
Shipped an MVP to 500+ students. 4.8★ rating. 62% D7 retention — 2x the category benchmark.
Founder / PM
ResumeAI
Problem
Recruiters spend 7s on a resume. Job seekers don't know why they get rejected. No transparent feedback loop.
Approach
Used AARRR to identify Acquisition → Activation as the biggest drop-off. Prototyped a 3-screen onboarding flow and A/B tested it.
Outcome
Activation rate +38%. 92% LLM-judge agreement with recruiter feedback on 200-sample eval set.
Product Manager
EcoTrack
Problem
Users who track carbon footprint drop off after day 3. The product felt like homework, not a habit.
Approach
Mapped the user journey, identified the 'Aha moment' on day 5, and rebuilt the home screen around a daily streak + leaderboard.
Outcome
WAU/MAU rose from 12% → 34%. Streak length became our North Star Metric.
Experience
Where I've shipped, learned, and measured.
Product Management Intern
Chandigarh University Tech Incubator
- Owned the roadmap for an internal AI tutoring tool used by 800+ students
- Ran 15+ user interviews, wrote 3 PRDs, and partnered with 2 engineers to ship the MVP
- Defined HEART metrics and built a Mixpanel dashboard for weekly product reviews
Full-Stack Developer Intern
Dotsquares Technologies
- Shipped 4 production features in React + Node.js for a B2B SaaS client
- Reduced p95 page load from 3.2s → 1.4s via code-splitting and image optimization
- Wrote internal docs on our API design — still used by new joiners
Open-Source Contributor
GitHub · Various
- Contributed to 6 OSS projects in Python and TypeScript
- Maintainer of a small LLM-eval library (~300 stars)
Certifications
Always learning, always shipping.
Coursera · 2024
Google Project Management
LinkedIn Learning · 2024
Product Management Fundamentals
Coursera · 2024
IBM Data Science Professional
AWS · 2024
AWS Cloud Practitioner
DeepLearning.AI · 2023
Deep Learning Specialization
Coursera · 2023
Google UX Design
Resume
Like what you see? Let's talk.
Grab a copy of my resume, or reach out for a chat about a role on your team.
Contact
Let's build something worth shipping.
Open to APM, PM Intern, and Product-focused engineering roles. Happy to chat about product, AI, or why JTBD beats feature lists every time.