Architecting
Structure & Flow.
Mohd Kamran Tahir compiles digital infrastructures. Specializing in Golang, Node.js, and AWS, this archive documents the construction of efficient data pipelines and high-performance microservices.
Open to roles in:
- • Senior Backend Engineer
- • Systems Architecture
- • Technical Leadership
Chronology
[ FIG. 01 ]Zeller
- Led Tevalis POS launch, ensuring seamless integration and high performance across multiple POS systems.
- Enhanced integration testing for POS systems, improving reliability and reducing errors.
- Optimized multi-layer CI/CD with caching, reducing 40-min build times significantly.
- Developed scalable solutions using Go, Node.js, TypeScript, and AWS.
Technologies
Shiba Inu
- Built end-to-end analytics pipeline (API Gateway, Kinesis, S3, Athena), processing 100k+ events/min.
- Implemented Ads/Analytics SDK for multi-site event tracking with Golang microservices.
- Optimized CI/CD pipelines and Dockerfiles, reducing build times and image sizes.
- Mentored junior developers while delivering services with Node.js, React, Next.js, and NATS.io.
Technologies
GoKwik
- Led partial payments feature from scratch, increasing purchases and reducing cancellations by 20%.
- Implemented Kafka queue system for reliable webhook consumption with Shopify and WooCommerce.
- Developed one-click WhatsApp login serving 40M+ users.
- Built scalable solutions using Node.js, TypeScript, React, Golang, Kafka, and Redis.
Technologies
Deloitte
- Developed mobile-first, responsive custom pages for white-label solution using ReactJS.
- Modernized legacy jQuery codebase to ReactJS, improving developer experience.
- Built high-performance serverless solutions with AWS Lambda.
- Integrated third-party REST APIs using Node.js, TypeScript, and DynamoDB.
Technologies
Hackstrap
- Implemented front-end optimizations improving SEO and search engine rankings.
- Created interactive user interfaces with ReactJS, enhancing UX.
- Developed and integrated components improving website functionality.
- Achieved higher search engine scores through SEO best practices.
Technologies
Selected Works
[ FIG. 02 ]
LeapOCR
PublishedTurn unstructured documents into structured intelligence with enterprise-grade accuracy. LeapOCR blends computer vision with language models.
View SourceKey Specifications
- Hybrid AI Engine
- Schema Validation
- Parallel Throughput
pg_strict
Open SourceBlocks dangerous UPDATE and DELETE statements before they run. Prevents common mistakes like forgetting a WHERE clause and accidentally touching every row in a table. Implemented in Rust using pgrx.
View SourceKey Specifications
- Rust + pgrx
- Parse-time Analysis
- Zero Runtime Overhead
HappyFormatter
PublishedPrivacy-focused code formatter and minifier supporting 22+ programming languages. Features client-side processing with zero-latency execution and RFC-compliant validation.
View SourceKey Specifications
- 22+ Languages
- Client-Side Processing
- Real-time Validation
HappyTokenizer
PublishedInteractive tokenizer visualization tool for LLM models. Real-time tokenization display with support for GPT-5, GPT-4o, GPT-3.5, and more models with privacy-focused processing.
View SourceKey Specifications
- Real-time Visualization
- Multiple GPT Models
- Performance Metrics
Precedentia
In DevelopmentA context-aware AI assistant designed for legal professionals. Summarize clauses and extract citations instantly from case files.
View SourceKey Specifications
- Context-Aware Chat
- Citation Extraction
- Secure Vault
Competencies
Technical proficiency focused on backend reliability, data consistency, and cloud scalability.