Syed Sajjad HussainApplied AI Engineer
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Experience

A practical AI career story, organized for fast review.

AI product R&D, LLM evaluation, client delivery, technical SEO, and full-stack product work presented as clear outcomes.

2.5+ years

Hands-on experience

4

Work streams

20

Projects represented

AI + Web

Primary focus

Timeline

What changed, what shipped, and what skill it proves.

01Remote

Jan 2024 - Jan 2026

Applied AI Engineer (Remote)

Product R&D

Built practical AI product prototypes while deepening GenAI, LLM, RAG, analytics, and Python engineering skills through market-oriented projects.

  • Designed and shipped AI applications for legal document intelligence, financial analytics, and media/content intelligence using Python-first workflows.
  • Built LLM-powered user flows with document parsing, retrieval, prompt orchestration, AI analysis, visualization, and explainable outputs.
  • Worked with tools such as Streamlit, LangGraph, ChromaDB, OpenAI/Anthropic APIs, PyMuPDF, Pandas, NumPy, Scikit-learn, Plotly, and ReportLab.
  • Focused on real problems: reducing manual document review, simplifying financial analysis, and converting media into structured content assets.
PythonLLM AppsRAGLangGraphChromaDBStreamlitPrompt EngineeringAI Product ThinkingData Visualization
02Remote / International client work

Jan 2026 - Present

AI Full Stack Developer (Freelance / Remote)

Xbot Startup

Worked in a small 3-person international setup delivering client websites, SEO-structured business pages, WhatsApp automation flows, product catalogs, and deployment support.

  • Owned design, frontend development, testing, deployment, technical SEO assets, and client-facing UI polish for multiple business websites.
  • Built dynamic and conversion-focused websites for interiors, dental, restaurant, rice, shoes, real estate, social media, portfolio, and invitation use cases.
  • Added business-friendly features such as WhatsApp deep-link messages, product/service pages, mobile-first catalogs, consultation CTAs, admin-editable content where applicable, and SEO-focused page structure.
  • Collaborated with team members handling client discovery, cold outreach, and social media while translating client needs into deployed websites.
ReactVite/Next.jsTypeScriptJavaScriptResponsive UISEOProduction HandoffWhatsApp AutomationClient Communication
03Remote

Apr 2026 - May 2026

Applied AI Engineer (Contract)

micro1

Supported AI development workflows through prompt improvement, LLM response evaluation, response ranking, data annotation, structured feedback, and quality assurance.

  • Created, tested, and refined prompts to improve LLM response quality, instruction following, clarity, completeness, and task relevance across assigned business/productivity scenarios.
  • Reviewed model outputs against task requirements, comparing alternative responses and identifying issues in accuracy, safety, consistency, tone, usefulness, and reasoning quality.
  • Provided structured feedback through response ranking, data annotation, AI quality assurance, documentation, and deadline-based remote task delivery.
  • Collaborated remotely with team members and senior engineers through structured project workflows and review cycles.
Prompt EngineeringGenerative AILLM EvaluationAI TrainingAI Quality AssuranceData AnnotationRemote Collaboration
04Remote / Client project

Jun 2026 - Present

Full Stack Developer / SEO Engineer (Contract, Ongoing)

Econ Building Center / DadiMa Superfood

Built and deployed a full-stack e-commerce style platform for DadiMa Superfood with admin support, product catalog structure, CRUD workflows, SEO content, and technical SEO readiness.

  • Built a fast, responsive product catalog experience with categories, variants, stock-style display, product details, cart flow, compliance pages, and distributor/customer CTAs.
  • Implemented admin support for managing product/category-style content and client-side business operations.
  • Created SEO-oriented content structure, metadata, and business-friendly landing pages for indexing readiness.
  • Deployed the project to a live subdomain for client review and ongoing iteration.
Full Stack DevelopmentE-commerce UIAdmin CRUDSEO ContentTechnical SEOProduction HandoffResponsive Design

Generative AI Training & Project Lab

Live Generative AI Engineering Program - Educosys

A project-based training map covering model foundations, RAG systems, agents, local models, and multimodal AI.

Core AI Skills Gained

Completed a live project-based Generative AI program covering AI foundations, deep generative models, transformers, LLMs, fine-tuning, LangChain, LangGraph, vector databases, RAG, AI agents, MCP, Ollama, multimodal models, diffusion, CLIP, and prompt engineering.

TransformersLLMsRAGLangGraphLangChainVector DBsFine-tuningLoRA/QLoRAHugging FaceMCPOllamaUnslothGANsVAEsDiffusionViTCLIPPrompt Engineering

Module 1

AI Foundations

AI foundations, math foundations, probability/statistics/linear algebra, neural networks, gradient descent, feedforward/RNN/CNN, TensorFlow neural network, MNIST autoencoder.

Module 2

Generative Models

GANs, VAEs, probabilistic generation, TensorBoard metrics, handwritten digit GAN, CelebA face VAE.

Module 3

Transformers and LLMs

RNN/LSTM, transformers, attention, positional encoding, encoder-decoder, MLM/CLM, GPT/BERT, Transformer from scratch, BERT sentiment analysis.

Module 4

Fine-tuning and Agent Workflows

Fine-tuning, LoRA, QLoRA, Hugging Face, summarization/QA, LangChain prompts/memory/chains/agents, LangGraph nodes/state/workflows, Q&A app.

Module 5

RAG and Vector Search

Vector databases, ChromaDB, RAG pipelines, Streamlit frontend, end-to-end chatbot with LangGraph/ChromaDB/WebSearch/memory/LLMs, image/caption/video caption generation app.

Module 6

Local Models and MCP

MCP, Ollama, Unsloth fine-tuning, Mixture of Experts, Chain-of-Thought concepts, DeepSeek architecture.

Module 7

Multimodal AI

Distillation, diffusion models, Vision Transformers, multimodal models, CLIP, prompt engineering.

Education

B.Tech in Computer Science & Engineering

MAKAUT / 2022-26 / CGPA 7.8/10 / Graduated June 2026

Achievements

  • National Rank 162 / 18,773, Top 1% in Naukri CodeQuezt #23
  • Google Startup School Certified
  • Academic Excellence: 97/100 Mathematics, 92/100 English in State Boards

Working style

Clear communication, fast iteration, practical shipping.

The through-line is simple: understand the user problem, build a working flow, make the output easy to inspect, and keep the implementation fast enough to iterate.