classSyedAbdulKareem:
def__init__(self):
self.role="Agentic AI Developer & Team Lead"self.company="IT Automation LLC (Remote, USA)"self.education="B.E. CSE (AI & ML) — Osmania University | CGPA: 8.44"self.research="IHub-Data, IIIT-Hyderabad — EEG/BCI Neurotechnology"self.freelance="Innodata — LLM Evaluation & AI Data Annotation"self.building= ["Agentic Legal AI", "Loan Origination", "Healthcare AI"]
self.stack= ["LangGraph", "LangChain", "RAG", "OpenAI",
"Anthropic", "Gemini", "LLaMA", "Groq"]
self.focus= ["Evals", "Observability", "Hallucination Mitigation"]
self.passion="Turning cutting-edge research into reliable production AI"I build autonomous AI systems that work in the real world — not just demos. I lead a small engineering team shipping production-grade agentic applications, and I care deeply about making agents observable, grounded, and reliable. My work spans:
- ⚖️ Legal AI — multi-agent pipelines for document analysis, case management, RAG-grounded assistance
- 💰 Financial AI — agentic loan origination, automated underwriting, risk analysis
- 🏥 Healthcare AI — medical image classification, clinical NLP, real-time inference
- 🧬 Neurotechnology — EEG-based BCI systems (OpenBCI Cyton+Daisy) at IIIT-Hyderabad, controlling devices via brain signals
- 🔍 Evals & Observability — LLM-as-Judge workflows, evaluation pipelines, trace debugging
Remote | United States · Multi-Agent Systems · RAG · LangGraph
- Lead a team of 2 engineers to design and ship autonomous agentic AI systems end-to-end using LLMs, LangGraph orchestration, RAG pipelines, and FastAPI services across three production-grade applications in the legal, financial, and public-safety domains
- Built agentic, multi-agent systems with LangGraph for autonomous workflow automation, tuned for latency, reliability, and cost
- Implemented RAG pipelines with vector databases for document understanding across structured, unstructured, and OCR-based ingestion; applied data-grounded prompting to reduce hallucination
(Specifics of these systems are company-confidential.)
Research Under Publication · Neurotechnology · Signal Processing
- Built a real-time EEG acquisition & signal-processing system using OpenBCI Cyton+Daisy with Python pipelines supporting SSVEP, Motor Imagery (MI), and P300 neural paradigms
- Optimised low-latency inference pipelines and engineered brainwave visualisation tooling with research engineers, advancing neurotechnology for autonomous human-machine interaction
Remote | Freelance
- Client: Meta SuperIntelligence Labs
- Creating high-quality datasets for state-of-the-art LLMs across text and multimodal annotation tasks
- Evaluating AI model responses for leading tech companies — providing structured feedback that directly improves model behaviour
LangGraph · RAG · FastAPI · LLM Tool-Use Production agentic system for the financial domain. Details are company-confidential.
| LangGraph · RAG · LLaMA · Vector DB Production multi-agent system for legal workflows. Details are company-confidential.
|
LangGraph · Gemini · Multi-Agent · Python Parallel multi-agent orchestration with shared state across planning, weather, and POI agents. 35% latency reduction, 100% success rate with fault-tolerant fallbacks.
| LangChain · FAISS · Llama 3.3 70B · Streamlit Indexed 250+ sales records using FAISS + sentence transformers for semantic retrieval. Integrated Groq-hosted Llama 3.3 70B for hallucination-free structured query resolution.
|
React · Flask · FastAPI · ResNet50 · Gemini 2.5 Pro Full-stack healthcare app using ResNet50 for conjunctival image classification — 97% accuracy. Integrated Gemini 2.5 Pro chatbot for real-time medical guidance at <2s latency.
| OpenCV · Dlib · PyQt5 · Python Hands-free cursor control for motor-disabled users — 80% eye-tracking accuracy via facial-landmark detection. Controlling computers through gaze: AI for human dignity.
|
Python · OpenBCI · Signal Processing · ML Real-time EEG acquisition supporting SSVEP, Motor Imagery, and P300 paradigms. Low-latency inference pipelines and brainwave visualisation tooling. Research under publication.
| LangGraph · Groq · Agentic Routing Production agentic application for public-safety workflows. Details are company-confidential.
|
| Certification | Issuer | Focus |
|---|---|---|
| 🏆 Oracle Certified Generative AI Professional | Oracle | GenAI, LLMs, Prompt Engineering |
| 🎓 AI/ML/DL Techniques | NIT Warangal | Deep Learning, Neural Networks |
| 📊 Machine Learning Professional Certificate | Anaconda | ML Algorithms, Model Building, MLOps |
| 📈 Data Analysis with Python | freeCodeCamp | Pandas, NumPy, Data Visualisation |
I'm open to AI/ML full-time roles, freelancing, AI consulting, and research collaborations in legal, financial, healthcare, and neurotechnology AI domains.
"The best AI systems are the ones that make complex tasks feel simple — and the reliable ones make them trustworthy."