Ankit Raj

AI Researcher

New Delhi, Delhi, India3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 20+ production MVPs shipped successfully.
  • Served over 80K users with AI-powered products.
  • Ranked Top 20 on Product Hunt globally.
Stackforce AI infers this person is a SaaS and AI solutions developer with expertise in real-time systems.

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Skills

Core Skills

Ai EngineeringReal-time SystemsSaas Architecture

Other Skills

Python (Programming Language)RedisWebSocketDockerKubernetesNode.jsTypeScriptFastAPINext.jsPythonAWSGoogle CloudFirebaseLLM Observability and LLM MonitoringLarge Language Model Operations (LLMOps)

About

I build AI-powered products that people actually use, not just demos. 20+ production MVPs shipped. 80K+ users served. Top 20 on Product Hunt. Products I've launched: • InstantAIAds: AI-powered ad generation platform, Top 20 globally on Product Hunt (1K+ users, $2K+ revenue) • superthumbnail: 1K+ active users • Published NPM Package: 3K+ downloads • Leethide: Chrome extension with 50+ users AI & LLM Systems: • Custom Skills engine for LLMs (similar to Anthropic's Claude Skills), works across any model, 90%+ accuracy on task execution • End-to-end LLM monitoring system: logging, observability, cost tracking, latency profiling, and production reliability across all major providers • Multi-agent orchestrator: coordinating autonomous agents across Claude, GPT, and Gemini with tool-use execution and fallback routing • Domain-specific fine-tuned models and RAG-powered chat-with-data systems • Agentic sales workflows via WhatsApp Business API that pushed conversions from 20% to 80% SaaS & Business Systems: • Custom CRM with end-to-end sales automation: WhatsApp campaigns, email drip sequences, and lead nurturing pipelines that converted prospects into paying customers • Full payment infrastructure: subscription billing, one-time payments, and scalable gateway integrations (Razorpay, Stripe, Cashfree, DodoPay) running in production with real users • Marketing & analytics stack: Facebook Pixel, Conversions API, Google Tag Manager, and attribution tracking for data-driven campaign optimization • Real-time trading engines using Redis, WebSockets, and event-driven architecture • Scalable SaaS platforms with auth, payments, DDoS mitigation, and cloud-native deployment Stack: Next.js, React, Node.js, Python, TypeScript, Redis, Supabase, Docker, Kubernetes, n8n, AWS, Azure, GCP Core Domains: • LLM orchestration & multi-agent systems • AI automation & agentic workflows • SaaS architecture & MVP development • Cloud infrastructure & MLOps • Real-time & event-driven systems • Revenue automation & growth engineering I don't just prototype. I ship production systems that handle real users and real revenue. Let's build → https://cal.com/ankit-raj-mjr50q/30min

Experience

3 mos
Total Experience
3 mos
Average Tenure
--
Current Experience

Spektra systems

AI Developer

Oct 2025Present · 7 mos · Remote · Remote

AI EngineeringPython (Programming Language)

Nightlight projects

Software Engineer Intern

Feb 2025Aug 2025 · 6 mos · Remote

AI EngineeringPython (Programming Language)

Kirat’s technologies

SDE Intern

Oct 2024Jan 2025 · 3 mos · India

  • Developed high-performance trading exchange with Redis, WebSocket, and Docker/Kubernetes for real-time API
  • services.
  • Created metaverse backend using Node.js and TypeScript with real-time user synchronization.
  • Built LinkedIn automation tool with Chrome extension, FastAPI, and web scraping technologies.
  • Technologies: Redis, Node.js, TypeScript, WebSocket, FastAPI, Selenium, Docker, Puppeteer, Kubernetes.
RedisWebSocketDockerKubernetesNode.jsTypeScript+3

Sleepytale

Junior Software Engineer

Jul 2024Sep 2024 · 2 mos · United States · Remote

  • Developed a full-stack AI platform using Next.js, Node.js, and GPT-4 (MemGPT) on AWS, enabling text and PDF summarization, semantic search with embeddings, and persistent conversation storage via Firebase.
  • Built an AI-powered viral video generation system that automatically converts long-form videos into 20–30 second TikTok-ready reels by intelligently selecting key clips, syncing background audio, and exporting optimized short-form content.
  • Implemented automatic transcription overlays on generated videos using Whisper, with real-time captions rendered directly in the video UI.
  • Integrated audio and media processing pipelines using GPT-4, Whisper, and ElevenLabs for speech-to-text, MP3-to-AAC conversion, background music mixing, and phrase extraction.
  • Built multi-modal AI chatbots supporting image generation in 8+ visual styles.
  • Tech Stack: React.js, Next.js, Python, Node.js, AWS, Google Cloud, Firebase.
Next.jsNode.jsPythonAWSGoogle CloudFirebase+2

Education

DPG Institute of Technology and Management

Bachelor of Technology - BTech — Computer Science

Sep 2022Sep 2026

Holy Cross High School - India

Class 12th — Science

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