Transforming Business Challenges into Intelligent AI Solutions
Hi, I'm Dhara Anil Parmar — an AI Systems Builder combining a solid Business Development background with Computer Science & ICT degree foundations (BCA, M.Sc. ICT, MBA). I design, build, and evaluate LLM applications, automated workflow pipelines, and intelligent web software.
"My mission is to bridge business strategy with practical AI development — engineering reliable LLM workflows and automated systems that streamline operations, enhance decision-making, and create practical business value."
Medical AI Chatbot
FitAIBody – AI Fitness Assistant
API Formulator Fetcher (n8n Automation)
Dosage Forms: Oral, Injectable, Both
Skills & Technology Stack
Project-Demonstrated Stack
- Python (FastAPI, REST APIs)
- Llama 3.2 1B • LoRA / PEFT (Testing)
- PyTorch • Hugging Face (Testing)
- React 18 • TypeScript • Vite
- Supabase • PostgreSQL
- n8n Cloud • n8n Form Trigger
- HTML5 • CSS • JavaScript
Core Engineering & Data
- Python Programming
- SQL & Relational Databases
- Git & Version Control
- Data Science & Analytics
- API Integration & Webhooks
- Workflow Automation
Business & Strategy
- Business Problem Analysis
- Business Development Experience
- Process & Workflow Optimization
- Business & Technology Alignment
- Critical Thinking & Problem Solving
Explore Full Engineering Operations
Explore AI system architectures, run live agent simulations, analyze prompt versions, and review verified design patterns.
Engineering & Business Roadmap
How a foundation in Business Development accelerates problem discovery, customer workflow empathy, and practical AI Engineering execution.
Business Development Experience
Engaged directly with clients and operational workflows at Valencia Life Sciences. Managed client relationships, analyzed operational bottlenecks, and identified key gaps where manual processes throttled efficiency.
Computer Science & ICT Degree Foundation
Built a strong academic foundation through a Bachelor of Computer Applications (BCA) and Master of Science in Information & Communication Technology (M.Sc. ICT), followed by Master of Business Administration (MBA) studies. Developed core competencies in Python, SQL, REST APIs, and data analysis.
Hands-on System Development
Engineered real-world software applications and workflow automation solutions, including FitAIBody (live React/TypeScript web app), API Formulator Fetcher (live n8n Cloud automation workflow), and Medical AI Chatbot (fine-tuned Llama 3.2 1B model, currently in testing).
Targeting AI Engineering & Automation Roles
Combining business domain empathy with practical AI development skills to build reliable, accessible AI solutions and workflow automation — actively seeking AI Engineer and AI Automation Specialist opportunities.
AI Systems
Real-world AI solutions designed to solve business challenges through Agentic AI, LLMs, Prompt Engineering, and Intelligent Automation.
FitAIBody — AI-Powered Fitness Assistant
AI Powered
Personalized workout recommendations using intelligent AI assistance.
Responsive Design
Optimized experience across desktop, tablet, and mobile devices.
Interactive Experience
Real-time fitness guidance with an intuitive conversational interface.
Live Web Application
Fully functional cloud-hosted application available for demonstration.
API Formulator Fetcher (n8n Automation)
n8n Cloud
Cloud-hosted workflow automation engine managing execution.
Form Trigger
Structured dropdown inputs capturing required parameters.
Automation
Automated request dispatch and payload validation.
Live Form URL
Publicly accessible live form interface for recruiters.
Technology Ecosystem
Core technologies and AI engineering frameworks used across projects and ongoing learning.
AI Engineering Exploration
Areas I am exploring as I continue developing my AI engineering capabilities.
Multi-Agent State Graphs
Exploring state-graph architectures for complex ticket routing and document cross-referencing.
Automated Prompt Optimization
Exploring programmatic prompt compilation to automate prompt tuning with metric-driven evaluations.
Local Small-LLM Deployment
Exploring quantized small language models running locally for privacy-focused inference.
Agentic AI Execution Lab
Experience real-time multi-agent reasoning, planning, memory lookup, tool execution, and verification loops in a live interactive console.
Prompt Engineering Studio
Test and compare system instructions, few-shot templates, Chain-of-Thought prompts, and structured output JSON schemas.
Architecture Explorer
Explore AI architecture patterns designed for fault tolerance, agentic decisioning, and reliable execution.
Pattern 01: Full-Stack Web App Architecture (FitAIBody)
Interactive React 18 single-page application integrated with Supabase authentication, PostgreSQL storage, and cloud deployment.
Pattern 02: Automated Workflow Topology (n8n Formulator Fetcher)
Form-triggered automation pipeline capturing pharmaceutical parameters and dispatching execution through n8n Cloud.
AI Evaluation & Guardrails Center
Empirical accuracy, hallucination tracking, faithfulness scores, and latency metrics across LLM deployments.
AI Evaluation Methodology
Frameworks and structured approaches applied when evaluating LLM outputs and RAG pipeline quality.
Specific benchmark scores from implemented projects are available on request and tied to real project contexts — not displayed as generic metrics here.
Engineering Journal
Deep-dive technical articles documenting research, architecture decisions, and lessons learned during system development.
Fine-Tuning Small LLMs for Domain-Specific Q&A
Exploring parameter-efficient fine-tuning (LoRA/PEFT) on smaller open-weight models (Llama 3.2 1B) to deliver controllable, domain-focused inference.
Building Accessible Automation Workflows with n8n Cloud
Designing web form triggers, payload validation, and cloud execution pipelines to automate repetitive business data collection.
Build Logs & Commit Stream
Real-time log of engineering updates, framework experiments, and system build iterations.
Degree Education
M.Sc. Information & Communication Technology
Veer Narmad South Gujarat University
Degree awarded: 2011
BCA — Bachelor of Computer Applications
Veer Narmad South Gujarat University | 2008
Master of Business Administration
Sikkim Manipal University | 2013
Verified Credentials & Learning
Verified credentials and learning experiences from IBM SkillsBuild, Cisco Networking Academy, HP LIFE, Forage, and ServQual.
AI Fundamentals Glossary
Key concepts and definitions in artificial intelligence via IBM SkillsBuild.
Introduction to Data Science
Data analysis methodologies, Python data structures, and statistical evaluation.
PwC Management Consulting Simulation
Virtual job simulation covering business summaries, divestiture interview guides, and financial modeling.
PwC Technology Consulting Simulation
Virtual job simulation covering technical requirement analysis and technology consulting.
AI for Business Professionals
Understanding AI's role in business, prompt construction, and practical business tools.
Critical Thinking in the AI Era
Evaluating model biases, hallucination risks, and critical decision-making strategies.
Data Science & Analytics
Leading data science practices, methodologies, tools, and data-driven business approaches.
Business Email
Professional business communication, email writing strategies, and stakeholder communication.
Introduction to Digital Business Skills
Digital technology adoption, online business models, and modern digital workflows.
Certified DPDPA Fundamentals
Digital Personal Data Protection Act (DPDPA) concepts, data privacy compliance, and governance.
DHARA ANIL PARMAR
AI Engineer | LLM Applications • RAG • Fine-Tuning • Agentic AI
AI Engineer specializing in LLM Applications, RAG Pipelines, Fine-Tuning, and Agentic AI. Combines a practical business background with hands-on AI engineering — designing and building systems that automate operations, improve decision-making, and create measurable business value.
LLM Applications, Workflow Automation, Model Fine-Tuning, Prompt Engineering.
Python, SQL, REST APIs, Git, FastAPI, Pydantic, React, TypeScript.
Requirement Scoping, Workflow Optimization, Client Relations, Solution ROI.
Contact Operations Terminal
Connect directly with Dhara Anil Parmar for AI engineering collaborations and opportunities.
Direct Channels
Open to AI Engineering roles, technical collaborations, and intelligent system discussions worldwide.
Send Dispatch
Building Beyond Projects
Alongside AI engineering work, I'm building a startup focused on making AI accessible and practical for real business problems.
Building Beyond Projects
I'm also building an AI startup focused on accessible, AI-powered solutions that address practical business and customer problems through automation, intelligent assistance, and data-driven insights.
The startup is in active development — combining AI engineering skills with a grounded understanding of how businesses actually operate. The goal is to make powerful AI capabilities accessible to organisations that need them most, without the complexity that typically slows adoption.