SHYAMAK_DANAVALE

PORTFOLIO_TERMINAL

SHYAMAK_DANAVALE

Backend engineer building habit-focused products.

MSCS @ NYU · VIT 2025

Former founder of an in-home eldercare service

Go · Next.js · PostgreSQL · Product Engineering

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ABOUT

> Hi,

I'm currently in my first year of MS in Computer Science at NYU, after completing my bachelor's from VIT Vellore in 2025.

Before this, I started and ran an in-home eldercare service, where I handled everything from getting the first few customers to managing a small team of caregivers.

These days, I spend most of my time building products I find useful in my own daily life and experimenting with different ideas.

I'm currently looking for software engineering internship opportunities.

SELECTED WORK

PROJECT_01 / AI PRODUCT INFRA

Zibe

AI no-code platform generating deployable applications from natural language.

Metric: Reduced AI latency from 5 mins to under 35 secs

Stack: Go · PostgreSQL · Gemini · REST APIs

  • - Built backend architecture in Go and PostgreSQL.
  • - Integrated Gemini for prompt understanding and structured generation. Previously done using OpenAI Agents.
  • - Designed modular architecture for scalable app synthesis.

PROJECT_02 / FOCUS WORKSPACE

Monastic

Cal Newport's deep work inspired platform for planning blocks, tracking output, and measuring focused time over weeks.

Metric: Planning, streaks and metrics flows in one system

Stack: Next.js · TypeScript · Go · PostgreSQL

  • - Designed calendar planning and session tracking flows.
  • - Built weekly metrics and streak analytics around sustained usage.
  • - Currently working on Google Calendar sync and voice accessibility.

PROJECT_03 / SHARED FINANCE SYSTEM

Zeroed

Expense-sharing platform for group balances, settlements, and structured payment updates.

Metric: Reliable add, edit, and delete sync flow for shared state

Stack: Next.js · Go · PostgreSQL

  • - Designed the relational schema for groups, users, expenses, and balances.
  • - Implemented sync logic for editing and deleting transactions cleanly.
  • - Focused on predictability over one-off patchwork state handling.

PROJECT_04 / WEARABLE ML

Barbell Exercise Classifier

Sensor-based machine learning system for exercise classification and repetition counting.

Metric: High classification accuracy across neural and traditional models

Stack: Python · PCA · Fourier Transform · Neural Networks

  • - Worked with accelerometer and gyroscope data.
  • - Applied Butterworth filtering and Fourier-based feature extraction.
  • - Compared neural networks with classical ML approaches.

EXPERIENCE

2025

Jan 2025 - Jul 2025

Software Engineering Intern

Zino Technologies

Worked on Zibe, an AI-powered no-code platform that lets users generate deployable applications from natural-language prompts.

  • - Built backend systems using Go and PostgreSQL.
  • - Led Gemini integration across the platform.
  • - Designed a decision engine for condition-based workflows.
  • - Worked on latency improvements and backend architecture.

2023

Sep 2023 - Jan 2025

Founder

Saathi Care

Founded and operated an in-home eldercare service focused on reliable caregiving support for elderly clients in India.

  • - Built the service from concept to functioning operations.
  • - Managed caregiver onboarding, customer outreach, and day-to-day operations.
  • - Secured collaborations with HSCT USA and Portea.
  • - Handled customer relations in a trust-based service domain.

EARLIER

  • - Hidoc Dr - Marketing & Tech Intern
  • - PredictRAM - Financial Analyst Intern

STACK

BACKEND

GoREST APIsPostgreSQLEchoMux

FRONTEND

Next.jsTypeScriptReactTailwind CSS

AI / ML

Gemini APIOpenAI APIPCAFourier TransformNeural NetworksRandom Forest

TOOLS

DockerGitSupabaseVercelRenderGoogle Cloud

ONGOING WORK

PROJECT_01

Nomd - Flexible calorie tracking with dynamic ingredient customization

CONTACT

OPEN_TO_BUILD

Open to software engineering internships, backend roles, and thoughtful product engineering work.

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