RASIK RAHMAN

AI Researcher

Chennai, Tamil Nadu, India2 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Architected ML-driven Performance Framework for predictive AI.
  • Developed BullByte News, an automated financial insights engine.
  • Designed Agentic AI workflows for autonomous task execution.
Stackforce AI infers this person is a Fintech and AI specialist with expertise in performance engineering and automation.

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Skills

Core Skills

Agentic Ai DevelopmentAwsWorkflow OrchestrationAutomationPerformance EngineeringPredictive Ai

Other Skills

Amazon Web Services (AWS)n8nPython (Programming Language)JMeterLocustSelenium WebDriverMobile TestingRetrieval-Augmented Generation (RAG)Interactive Voice Response (IVR)Amazon BedrockSarvamk6 Load TestingTest Automation ToolsPerformance Testing ToolsPerformance Testing

About

I am an engineer whose DNA is built on one principle: Intelligence at Scale. My journey spans from engineering precision in performance to architecting the cutting edge of Agentic AI. I don't just build systems that work; I build systems that work by themselves. The Foundation: Performance Engineering & Predictive AI (QBurst) My career began at QBurst, a company renowned for its 'High AI IQ.' There, I moved beyond traditional quality assurance to engineer intelligence into software performance. I architected a proprietary ML-driven Performance Framework that leveraged Random Forest algorithms to predict system degradation and ensure robust solutions for Tier-1 Automotive and Insurance clients. This was Predictive AI in action, setting new benchmarks for quality and efficiency The Technical Sandbox: Automation & Domain Expertise (BullByte News) To deepen my expertise in workflow orchestration, I developed BullByte News (bullbytenews.wordpress.com)—a personal R&D project. This is a fully automated media engine, powered by n8n, that integrates my 3+ years of stock market analysis to scrape, process, and syndicate financial insights across WordPress and social media, all before market open. It's my living lab for mastering end-to-end autonomous systems. The Future: Agentic AI & Generative Power (Shellkode) Today, at Shellkode, I apply that combined rigor and innovation to Generative AI. My focus is on: 🤖 Designing Agentic AI workflows that autonomously execute complex tasks and manage API interactions. 🎙️ Engineering low-latency Voice AI solutions with Groq & Sarvam for real-time human-AI conversations. ☁️ Optimizing vLLM deployments on AWS for high-throughput, scalable AI inference. I am an engineer who builds systems that think, learn, and act. Tech Stack: Python, n8n, vLLM, LangChain, Strands, AWS, Jmeter, Locust, Prometheus, InfluxDB, Grafana, Selenium, Playwright.

Experience

2 yrs 8 mos
Total Experience
2 yrs 1 mo
Average Tenure
7 mos
Current Experience

Shellkode

AI/ML Engineer

Nov 2025Present · 7 mos · Bengaluru, Karnataka, India · On-site

  • Agentic AI Architecture: Designing and implementing autonomous agent workflows using LangChain and custom tool integrations.
  • Real-Time Voice AI: Engineering and optimizing low-latency conversational AI solutions utilizing Groq and Sarvam AI.
  • Scalable Inference: Deploying and managing high-throughput LLM inference services (e.g., Qwen-32B, Llama 3) via vLLM on AWS GPU clusters.
Amazon Web Services (AWS)Agentic AI DevelopmentAWS

Bullbytenews

Independent Developer & Automation Architect | BullByte News (Personal Project)

Jun 2025Present · 1 yr · Remote

  • Note: A personal R&D initiative focused on developing autonomous data pipelines and intelligent content generation.
  • n8n Workflow Orchestration: Built a "zero-touch" automation engine that activates pre-market (e.g., 8:30 AM IST) to aggregate, process, and analyze global (US, BSE/NSE) market data.
  • Market Intelligence Integration: Applied 3 years of stock market domain expertise to filter signals, identify sentiment, and generate structured "pre-market reports."
  • Multi-Channel Content Automation: Engineered a full content lifecycle from data extraction to automated blog publishing on WordPress and social media dissemination (Facebook, X).
n8nPython (Programming Language)Workflow OrchestrationAutomation

Qburst

2 roles

Performance & AI-Quality Engineer

Dec 2023Oct 2025 · 1 yr 10 mos · Chennai, Tamil Nadu, India · On-site

  • Predictive AI in Quality: Spearheaded the integration of Machine Learning (Random Forest algorithms) into the performance testing lifecycle to automatically predict system degradation and anomaly detection.
  • Intelligent Framework Development: Architected an end-to-end performance suite utilizing Locust & JMeter for load generation, with Prometheus & Grafana for real-time, intelligent observability.
  • High AI IQ Contribution: Significantly enhanced TCoE processes by introducing "Intelligence-First" testing strategies for Tier-1 clients in the Automotive and Insurance sectors, improving system reliability and scalability.
JMeterLocustPerformance EngineeringPredictive AI

Trainee

Aug 2023Nov 2023 · 3 mos · Chennai, Tamil Nadu, India · On-site

Selenium WebDriverMobile Testing

Education

BSA Crescent Institute of Science and Technology

Bachelor of Technology - BTech — Computer Science

Jan 2019Jan 2023

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