Aman Kumar Singh

OPEN TO WORK
BUILD: v2.2.0 (Stable)SYS.OVR
BACKEND DEVELOPMENTSYSTEMS ENGINEERINGVIDEO TECH

Building backend systems and exploring video infrastructure. Passionate about Go, distributed systems, and learning how to scale software.

Init_Contact GitHub Technical_Logs
CORE STACKGO, NEXTJS, AWS
FOCUSBACKEND SYSTEMS
Professional Experience

Vertexcover Labs

Software Engineer Intern

2024-09 :: PRESENT
  • ➜Automated LinkedIn sales ops with scalable MCP server integrating lead search & connection.
  • ➜Built an AI-driven video cutter using FFMPEG for optimal frame-level cuts.
  • ➜Developed intelligent speech cleaner to remove silence and fillers from raw audio.

Yarasi Enterprises

Video Streaming Engineer Intern

2024-12 :: 2025-02
  • ➜Built scalable video streaming pipeline for 5+ platforms.
  • ➜Reduced storage costs by 45% via optimized compression algorithms.
  • ➜Engineered buffer-free streaming solution serving 10k+ concurrent users.
Featured Projects
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StreamScale

USERS: 10K+STORAGE SAVED: 45%

A distributed video streaming platform designed for scale. Features automated transcoding pipelines, HLS/DASH packaging, and CDN delivery.

GONEXTJSAWSPOSTGRESFFMPEG

Searchyfy

INDEXING: CUSTOMSPEED: <100ms

A full-text search engine built from scratch. Implements a custom web crawler, tokenization pipeline, and an inverted index with concurrent TF-IDF ranking.

GOPOSTGRESREDISAWS

LinkedIn MCP Server

TYPE: TOOLINGSTATUS: ACTIVE

An MCP (Model Context Protocol) server for automating LinkedIn operations including lead search, profile scraping, and connection management for sales workflows.

GOMCPAPIAUTOMATION
Technical Skills

Languages/Stack 5

Go
Java
JavaScript
HTML/CSS
SQL

Infrastructure 4

Docker
AWS (EC2, S3)
Git
Nginx

Specialized Skills

FFMPEG
Video Encoding
Web Crawling
System Design
Education
KL UniversityBachelor of Technology (2022 - 2026)

System Status: Nominal // 2026