Aditya Singh

Software Engineer

  • 13 proven skills
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Claims you can check

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  • StatedRésumé

    Brahma — AI-Powered Creator Automation Platform

    Architecting a multi-platform creator automation system using Next.js App Router, TypeScript, Supabase Auth, PostgreSQL, and server-side API routes handlers for YouTube and LinkedIn workflows. Engineered a multi-region YouTube ingestion and trend-ranking pipeline using views-per-hour, engagement rate, comment rate, momentum, freshness, opportunity score, and normalized global-reach signals. Built a channel growth analytics engine that calculates performance baselines, classifies videos as winners or under-performers, and generates data-driven content opportunities from historical channel metrics. Developed a modular AI Studio pipeline for script generation, voice synthesis, background music, scene planning, visual resolution, video rendering, and persistent project management.
  • StatedRésumé

    AI-Based Resource Allocation in NOMA for 5G and 6G Networks

    Developed an original MATLAB simulation framework for downlink power-domain NOMA with superposition coding, successive interference cancellation, and adaptive power allocation. Implemented channel-aware greedy user pairing and a tabular Q-learning agent trained over 500 episodes to learn state-dependent power-allocation policies. Benchmarked fixed and intelligent NOMA against OMA under identical AWGN, Rayleigh, and Rician channel realizations using BER, throughput, spectral efficiency, energy efficiency, and Jain’s fairness index.
  • StatedRésumé

    PulseWatch - Cloud Observability and Incident Management Platform

    Architected a distributed monitoring pipeline using Celery Beat, Redis queues, and background workers for scheduled website and API health checks. Built asynchronous FastAPI services with PostgreSQL to manage monitors, persistent check history, and automatic incident detection and recovery. Engineered rolling 24-hour uptime, average latency, and P95 latency analytics with real-time WebSocket updates. Containerized six application services using Docker Compose and implemented CI automation for linting, testing, security auditing, and image builds.
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  • StatedRésumé

    MATLAB wireless communication in 5G & 6G network Intern & Summer Fellow @ Department Of ECE, GTBIT

    Developed MATLAB simulations for fixed-power NOMA, AI-based user pairing, and Q-learning-based adaptive power allocation. Achieved an approximately 52.7% reduction in average BER using Q-learning-based power allocation compared with an equal-power baseline. Evaluated NOMA and OMA across AWGN, Rayleigh, and Rician fading channels using throughput, BER, spectral efficiency, energy efficiency, and fairness metrics. Improved the Jain fairness index from 0.193 to 0.622–0.726 by incorporating fairness into the learning objective.
  • StatedRésumé

    Freelance Backend Developer @ Telegram Automation

    Developed and deployed two paid Telegram VIP membership bots for clients using Python, aiogram, PostgreSQL, Redis, SQLAlchemy, and Docker. Built automated onboarding, membership verification, VIP category management, and role-based owner/admin controls. Deployed both client applications on VPS as on DigitalOcean with separate databases, Redis instances, and isolated Docker environments. Managed database migrations, production configuration, and automatic service recovery after server restarts.
  • StatedRésumé

    MATLAB-Based Applications in 5G & 6G Networks - Four-Week Summer Training Program, GTBIT

  • StatedRésumé

    Solar Cells and LED Simulation using SETFOS and LAOSS - Hands-on Workshop, Impulse Technology and Fluxim

  • StatedRésumé

    Participated in expert lectures by Scientist-F officials from DRDO–SSPL

    Participated in expert lectures by Scientist-F officials from DRDO–SSPL on semiconductor technology, electronic defence systems, and DRDO schemes.

What Aditya can prove

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INTERVIEW-VERIFIED CAPABILITY (PROVEN)SELF-DECLARED STACK
GRAPH NODES: 31 · CONNECTIVITY FACTOR: 0.42
Skill constellation: 31 skills, 0 interview-verified.5G/6G WIRELESS SIMULATIONAIOGRAMBACKGROUND TASK PROCESSINGCELERYCSSDIGITALOCEANDOCKERDOCKER COMPOSEFASTAPIGITGITHUBGITHUB ACTIONS (CI/CD)HTMLJAVASCRIPTLINUXMATLABNOMAOAUTH 2.0POSTGRESQLPYTHONQ-LEARNINGREACTREDISREST APISSIMULINKSQLSQLALCHEMYSUPABASETYPESCRIPTWEBSOCKETSNEXT.JS
  • 5G/6G Wireless Simulation: self-declared, 0 evidence items
  • aiogram: self-declared, 0 evidence items
  • Background Task Processing: self-declared, 0 evidence items
  • Celery: self-declared, 1 evidence items, linked to Project: PulseWatch - Cloud Observability and Incident Management Platform
  • CSS: self-declared, 0 evidence items
  • DigitalOcean: self-declared, 0 evidence items
  • Docker: self-declared, 1 evidence items, linked to Project: PulseWatch - Cloud Observability and Incident Management Platform
  • Docker Compose: self-declared, 1 evidence items, linked to Project: PulseWatch - Cloud Observability and Incident Management Platform
  • FastAPI: self-declared, 1 evidence items, linked to Project: PulseWatch - Cloud Observability and Incident Management Platform
  • Git: self-declared, 0 evidence items
  • GitHub: self-declared, 0 evidence items
  • Github Actions (CI/CD): self-declared, 0 evidence items
  • HTML: self-declared, 0 evidence items
  • JavaScript: self-declared, 0 evidence items
  • Linux: self-declared, 0 evidence items
  • MATLAB: self-declared, 1 evidence items, linked to Project: AI-Based Resource Allocation in NOMA for 5G and 6G Networks
  • Next.js: self-declared, 2 evidence items, linked to Project: Brahma — AI-Powered Creator Automation Platform, Project: PulseWatch - Cloud Observability and Incident Management Platform
  • NOMA: self-declared, 1 evidence items, linked to Project: AI-Based Resource Allocation in NOMA for 5G and 6G Networks
  • OAuth 2.0: self-declared, 0 evidence items
  • PostgreSQL: self-declared, 2 evidence items, linked to Project: Brahma — AI-Powered Creator Automation Platform, Project: PulseWatch - Cloud Observability and Incident Management Platform
  • Python: self-declared, 0 evidence items
  • Q-Learning: self-declared, 1 evidence items, linked to Project: AI-Based Resource Allocation in NOMA for 5G and 6G Networks
  • React: self-declared, 0 evidence items
  • Redis: self-declared, 1 evidence items, linked to Project: PulseWatch - Cloud Observability and Incident Management Platform
  • REST APIs: self-declared, 0 evidence items
  • Simulink: self-declared, 0 evidence items
  • SQL: self-declared, 0 evidence items
  • SQLAlchemy: self-declared, 0 evidence items
  • Supabase: self-declared, 1 evidence items, linked to Project: Brahma — AI-Powered Creator Automation Platform
  • TypeScript: self-declared, 1 evidence items, linked to Project: Brahma — AI-Powered Creator Automation Platform
  • WebSockets: self-declared, 1 evidence items, linked to Project: PulseWatch - Cloud Observability and Incident Management Platform
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Getting better, on the record

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Career chronology

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Trajectory timeline
  1. Freelance Backend Developer

    Telegram Automation

  2. Solar Cells and LED Simulation using SETFOS and LAOSS - Hands-on Workshop, Impulse Technology and Fluxim

  3. MATLAB wireless communication in 5G & 6G network Intern & Summer Fellow

    Department Of ECE, GTBIT

  4. MATLAB-Based Applications in 5G & 6G Networks - Four-Week Summer Training Program, GTBIT

  5. Guru Tegh Bahadur Institute of Technology, GGSIPU

    Bachelor of Technology

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