PersonalPortfolio Card
Forged an immersive 3D Portfolio Card utilizing the prowess of Three.js and Blender, where art and technology converge in an interactive masterpiece.
ReactJavascriptHTML 5CSS 3
View case study Syllabus & Courses
Syllabus & Courses
Access interactive notes, code walk-throughs, and downloadable PDF worksheets curated for students and learners.
About Me
Turning complex AI into practical skills
I'm Amol Shukla — an AI Developer, Trainer, and Agentic AI Expert with 2+ years of experience helping developers and data professionals master Python, machine learning, and generative AI.
As a full-time AI trainer at Ikigai School of AI, I design project-based curricula, mentor students through placements, and build production applications — from agentic AI pipelines to full-stack web products — in parallel.
AI Developer & Trainer
2+ years training developers and data professionals in Python, machine learning, and generative AI.
Agentic AI Expert
Design ReAct-style agent pipelines, tool-calling systems, and safe production LLM workflows.
Generative AI Specialist
Hands-on LLM and GenAI training that takes learners from prompt engineering to deployment.
Full-Stack Engineer
Ship end-to-end products with Next.js, React, TypeScript, Python, and FastAPI.
Prompt Vault
Amol Shukla's Production AI System Prompts
Amol Shukla's curated collection of production-tested system prompts, agentic ReAct patterns, and LLM optimization templates engineered for real-world applications.
Agentic AIMastery
ReAct Autonomous Agent System Prompt
Engineers an autonomous agent using the Reasoning + Acting (ReAct) paradigm with strict tool schemas, loop controls, and self-correction.
Target: GPT-4o / Claude 3.5 Sonnet
{AGENT_ROLE}{AVAILABLE_TOOLS}{GOAL}{CONSTRAINTS}
Prompt OptimizationAdvanced
Production System Prompt Meta-Optimizer
Transforms raw, ambiguous prompt requests into robust, structured XML system prompts with guardrails, few-shot examples, and edge case rules.
Target: LLM Agnostic
{RAW_PROMPT}{TARGET_MODEL}{EXPECTED_FORMAT}
Code & DevAdvanced
Full-Stack Code Refactoring & Security Auditor
Performs deep code reviews identifying security vulnerabilities (OWASP), performance bottlenecks, type flaws, and delivers clean refactored code.
Target: Claude 3.5 Sonnet / DeepSeek R1
{LANGUAGE_FRAMEWORK}{SOURCE_CODE}{PERFORMANCE_GOALS}
Agentic AIMastery
Multi-Agent Ensemble & Debate Synthesizer
Simulates a multi-agent committee (Advocate, Critic, Synthesizer) to systematically eliminate bias, hallucinations, and oversights.
Target: GPT-4o / Claude 3.5
{COMPLEX_TOPIC_OR_DECISION}{EVALUATION_CRITERIA}
Data & ReasoningIntermediate
Chain-of-Thought Data & Anomaly Extractor
Guides LLMs through step-by-step statistical reasoning to uncover trends, outliers, data correlations, and actionable business insights.
Target: LLM Agnostic
{DATASET_SAMPLE_OR_JSON}{BUSINESS_CONTEXT}
Agentic AIAdvanced
Zero-Shot DAG Task Decomposition Planner
Decomposes high-level user goals into a Directed Acyclic Graph (DAG) of executable subtasks with explicit dependencies and parallel nodes.
Target: GPT-4o / Claude 3.5 / DeepSeek R1
{COMPLEX_GOAL}{ENVIRONMENT_CONSTRAINTS}
Experience
Where I've worked
A track record of delivering AI training and building production software across companies and startups.
Portfolio
Projects
Showcasing impactful projects and technical achievements.
Personal
PersonalAI-Powered Academic Learning Assistant
An LLM-based tutoring assistant designed to support learners in DSA, DBMS, and Python with context-aware answers.
PythonFastAPISQLTensorFlow
View case study
PersonalSmart Resume Analyzer
An AI-driven resume screening system that compares resumes against job descriptions and generates ATS-friendly suggestions.
PythonFastAPISQLPyTorch
View case study Expertise
Skills
Key skills that define my professional identity.
LangChain
Build context-aware, reasoning applications with LLMs using flexible chains and agents.
Machine Learning
Develop predictive models, classification systems, and regression pipelines using structured data.
LangGraph
Orchestrate multi-actor LLM applications with stateful, multi-agent workflows.
LangSmith
Debug, test, evaluate, and monitor LLM applications and agent actions.
n8n
Design workflow automation and AI agent pipelines with a node-based integration system.
Deep Learning
Train neural networks, convolution architectures, and transformers for complex AI tasks.
Writing
Blogs
Thoughts on AI, software engineering, and building in public.
