AI engineer || LLM || RAG || GenAI
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patentsllm
June 13, 2026 – Present
PatentLLM generates R&D-focused patent intelligence reports from patent PDFs using section-aware parsing, embedding retrieval, local LLMs, claim-bank grounding, and citation-alignment audits.
View Projectperceptual-biases-vlm
June 7, 2026 – Present
Evaluation harness for testing perceptual biases in vision-language models using procedurally generated visual illusions, prompt paraphrases, grounded scoring, and failure-mode analysis.
View Projectrag-vs-finetuning-domain-benchmark
May 30, 2026 – Present
Reproducible benchmark comparing RAG and QLoRA fine-tuning for domain-specific Q&A using Mistral 7B, FAISS retrieval, Sentence-Transformer embeddings, ROUGE-L, BERTScore, and MLflow experiment tracking.
View Projecttracewhisperer
May 29, 2026 – Present
Conversational debugging assistant for LLM pipeline traces, using LangGraph-style specialist agents, hybrid trace retrieval, grounded evidence citations, FastAPI, and Streamlit to explain cost spikes, retrieval failures, hallucinations, and latency regressions.
View Projectresilient-agent-tasks-across-dropped-connections
May 28, 2026 – Present
resilient-agent-tasks-across-dropped-connections — GitHub repository
View Projectgoverned-agentic-ops-platform
May 27, 2026 – Present
governed-agentic-ops-platform — GitHub repository
View Projectagentmesh
May 27, 2026 – Present
Multi-agent orchestration system using MCP-style tool servers and A2A-style Agent Cards to coordinate planner, retrieval, search, and summarisation agents.
View Projectpatentllm
May 27, 2026 – Present
LLM-powered patent intelligence pipeline for generating R&D, sales, marketing, and executive reports from patent data using RAG, Ollama, FastAPI, and evaluation tooling.
View Projectesg-insight-extractor
May 26, 2026 – Present
LLM-powered ESG data extraction pipeline for corporate sustainability reports using RAG, Ollama, FastAPI, SQL storage, and evaluation tooling.
View Projectdocument-intelligence-rag-platform
May 18, 2026 – Present
Production-oriented PDF RAG platform with Docling parsing, multi-strategy chunking, Qdrant retrieval, Groq-compatible chat, and retrieval evaluation.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on LLM, AI, and data engineering, which might not directly align with a pure Frontend Developer role. While there are some frontend technologies listed in a few projects, the primary expertise appears to be in backend/ML. This suggests a potential mismatch in core interest and expertise for a dedicated frontend position. The diversity of projects within the AI/ML domain is strong, but the breadth across different software engineering domains is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and a focus on building robust, evaluated systems. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling.