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Himanshu

Srivastava

Engineering systems that move millions

Available for opportunities
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About

A systems engineer who ships products that scale

I'm a product-focused backend systems engineer based in Bengaluru, crafting real-time communication platforms, analytics pipelines, and AI instrumentation at a YC-backed startup. I design systems that handle millions of events, build infrastructure that teams rely on daily, and ship features that directly drive revenue.

When I'm not engineering distributed systems, I'm exploring new cafes, gaming, or diving into research papers on deep learning.

3+
Years Experience
50M+
Events Processed
2
Publications
15%+
Revenue Impact
Experience

Where I've shipped real impact

BIK

YC S20
Software EngineerJul 2024 - PresentBengaluru
  • Built real-time WhatsApp calling infrastructure with Meta APIs. Persistent permissions, low-latency call controls, session-resilient state sync
  • Designed AI instrumentation infra across helpdesk workflows, driving 20% faster issue resolution and 12% higher AI feature adoption
  • Architected analytics pipelines capturing millions of events, enabling precise revenue attribution and 15%+ tracked conversion increase
  • Built secure email ingestion pipelines with ACL enforcement, alias handling, and deduplication for cross-team collaboration

CodeMarks

Software Development EngineerJun 2023 - Jul 2024Bengaluru
  • Designed a scalable hospital management platform with patient records, dynamic forms, analytics dashboards, reducing manual errors by 30%+
  • Architected tournament management system automating scheduling and live scoring, eliminating 90% of manual operations
  • Built an AI-powered UI generation engine translating natural language to production components, accelerating dev velocity by 35%
Projects

Things I've built

01Web App

Tidybox

AI Email Triage for Gmail

Reads your entire Gmail inbox, classifies every email with GPT-4o-mini, applies color-coded labels, archives the noise, and generates a daily briefing with action items. One-click scan, zero manual sorting.

  • Batch classification with sender caching and priority scoring (1-5)
  • Smart briefing: life digest, action items, and headline summary
  • AES-256-GCM token encryption, rate limiting, and data minimization
  • Date-filtered scanning with Gmail trash and open-in-Gmail support
Next.jsPrismaGmail APIGPT-4o-miniTailwind
02Android App

Spam Shield

Privacy-First Call Blocker

Native Android call screening app that silently blocks unwanted calls before they ring. Works 100% offline with zero data collection. Built with a Kotlin native module for real-time call interception and pattern-based blocking rules.

  • Kotlin CallScreeningService for sub-100ms call interception at the OS level
  • Five match types: exact, starts with, ends with, contains, and regex
  • Fully offline architecture with on-device SQLite storage
  • SharedPreferences bridge for instant native-to-JS rule sync
React NativeExpoKotlinSQLiteAndroid
03Deprecated

Second Brain for YouTube

High-Performance Knowledge Capture Engine

Chrome extension for real-time transcript extraction, semantic summarization, and structured knowledge capture from long-form video content. Zero-cost summarization with no API dependencies. Currently deprecated due to a dependency issue, revival planned.

  • Client-side DOM parsing and event pipelines with zero API cost
  • Direct integration with Capacities for knowledge management
  • Export summaries as Markdown or HTML
Chrome ExtensionNode.jsCapacities API
Second Brain for YouTube on Product Hunt
04Published Research

StockSage

AI-Powered Stock Analytics Platform

Full-stack stock analytics platform providing real-time market visualization, portfolio insights, and AI-driven trend analysis. Backed by a published research paper on deep learning for stock price prediction.

  • Real-time market data visualization with interactive charts
  • Secure OAuth2 integration with Upstox for personalized portfolio tracking
  • Deep learning model for stock price prediction and trend analysis
  • Published in IJCRT: "StockSage: Stock price analysis and prediction using Deep Learning"
Next.jsMongoDBTensorFlowOAuth2Deep Learning
05IEEE Published

Indian Sign Language Detection

Deep Learning for Accessibility

Convolutional Neural Network model for real-time detection and classification of Indian Regional Sign Language gestures. Published in IEEE, thus bridging deep learning and accessibility.

  • CNN-based architecture for gesture recognition and classification
  • Focused on Indian Regional Sign Language for real-world accessibility impact
  • Published: "Detection of Indian Regional Sign Language Through CNN"
PythonCNNDeep LearningComputer VisionIEEE
More projects coming soon currently building something extraordinary. Stay tuned.
Tech Stack

Tools I work with

TypeScript
Node.js
PostgreSQL
Redis
Prisma
React
Next.js
Tailwind CSS
Docker
WebRTC
Elasticsearch
Python
OpenAI API
TensorFlow
GitHub Actions
TypeScript
Node.js
PostgreSQL
Redis
Prisma
React
Next.js
Tailwind CSS
Docker
WebRTC
Elasticsearch
Python
OpenAI API
TensorFlow
GitHub Actions

Core Stack

TypeScriptNode.js (Fastify, Express)PostgreSQLRedisPrisma ORM

Systems & Infrastructure

DockerGitHub ActionsWebRTCElasticsearch

Frontend

ReactNext.jsTailwind CSSStyled ComponentsGSAP

Data & AI

OpenAI APIAnalytics PipelinesTensorFlowEvent TrackingPython
Contact

Let's build something exceptional

I'm always open to discussing new projects, engineering challenges, or opportunities to be part of something great. Whether you need a systems engineer or a full-stack builder, let's talk.

[email protected]