Hi, I’m Krithik 👋
I’m a product builder who bridges the gap between ambitious technical goals and real-world business needs. I thrive in roles that demand full ownership—from initial strategy and design to engineering execution and stakeholder management. I'm the person you bring in when you need to not only build a product right, but also build the right product.
Based in San Jose, CA, and ready to relocate for the right opportunity. Outside of work, you’ll usually find me hitting the gym, playing chess, diving into a good non-fiction book, or reading up about the latest tech advancements on Twitter.
What I’m Working Toward
I'm seeking a role where I can own the full product lifecycle on an AI-native team. My goal is to operate as a true product builder, fusing my skills in engineering, product, and design to ship solutions that solve meaningful user problems.
Professional Journey
Wurq (at the Harvard i-lab)
Product Manager Intern (Sep 2023 – Apr 2024)
- Conducted user research with over 30 athletes to define functional requirements for a new ML-powered pose correction feature.
- Guided the development of a CNN model that reduced latency from 800ms to under 40ms by translating user needs into detailed technical specifications.
- Reduced model inference costs by 28% by analyzing cloud computing data and presenting a successful proposal for on-device processing.
- Drove a 30% increase in form-correction accuracy and a 45% lift in monthly usage by synthesizing A/B test results and user feedback.
- Improved development velocity by 30% within a global agile team by refining sprint planning and documenting user stories.
ZS Associates
Business Operations Associate (June 2021 – June 2022)
- Drove workflow optimizations impacting $1.2M in client revenue by analyzing business processes for a $32M pharmaceutical compensation platform.
- Supported the rollout of an analytics dashboard to over 200 enterprise users, gathering feedback to maintain a 98% user satisfaction rate.
- Increased quarterly feature delivery by 26% by writing user stories and acceptance criteria within an Agile framework.
- Grew the active user base by 45% to 580 by providing data analysis on key platform adoption metrics within an OKR framework.
- Reduced monthly support tickets by 40% by analyzing ticket data to identify user pain points and inform a system redesign.
Kalo Labs
Founder (Mar 2020 – Oct 2020)
- Founded and scaled a solo-operated digital marketing agency from $0 to $15K in monthly recurring revenue (MRR).
- Acquired and closed a portfolio of 12+ retained clients with an average contract value of over $1,200/month by engineering and executing a full-cycle sales process.
- Delivered an average 25% increase in organic traffic and a 15% reduction in client Cost Per Acquisition (CPA) by directing multi-channel marketing strategies.
- Cut administrative overhead by over 50% by building a scalable operational framework with automated reporting and standardized workflows.
What I’ve Built
Film Search 🎬
Ever get frustrated trying to find a movie you can't quite name? This is the fix. I built a search engine that lets you talk to it like a person, using an LLM to understand what you mean, not just what you type.
- Architected a scalable data pipeline using a crawler and PostgreSQL, enabling real-time search across 54k+ films.
- Built core search functionality using TF-IDF and BM25 ranking algorithms to deliver relevant and fast query results.
- Integrated a Llama 3.1 70B LLM to create a ”Film Chat” feature, allowing users to interact with film data.
Stack: Node.js, React, Express.js, PostgreSQL, Python, TailwindCSS, Scrapy, Groq
ChuckleBox 🤖
This project, built with the MIT AI Club, tackles a tough problem: analyzing hours of audio. I designed a scalable AWS backend and an asynchronous pipeline that can take massive audio files and process them for machine learning analysis, all without crashing.
Stack: Python, React, Flask, TensorFlow, Large Language Models (LLMs), AWS
Customer Churn Analysis 📉
A practical application of data science to predict customer churn for a music player. This project uses a mix of regression, SVM, and PCA to identify users who are likely to leave, giving the business a chance to intervene.
Stack: Python, Scikit-learn, Pandas, SVM, PCA
Education & Milestones
Northeastern University – Boston, MA
Master of Science, Engineering Management (2022–2024)
- Secured 2nd place representing the university's chess team.
- Explored Boston and have visited 10+ states across the US (and counting).
Visvesvaraya National Institute of Technology – Nagpur, India
Bachelor of Technology in Engineering (2017–2021)
- Secured admission by placing in the top 1% of the national JEE Mains entrance exam.
- Represented the university on the competitive dance team.