{"handle":"syedak","display_name":"Syed Abdul Khader","headline":"Senior AI Engineer | Agentic Systems | Evals","bio":"I design and build production multi-agent AI systems using Google ADK, MCP, LLMs and VLMs. I develop RAG and evaluation workflows, deploy FastAPI services on GCP, and improve AI-assisted creation and retrieval performance.","location":"Bangalore","company":"Amuse Labs","role":"Senior AI Engineer","open_to":null,"languages":null,"skills":["Python","SQL","FastAPI","Postgres","pgvector","GCP","Vertex AI","Docker","Google ADK","MCP","Multi-Agent Workflows","Tool Calling"],"positions":[{"title":"Senior AI Engineer","company":"Amuse Labs","location":"Bangalore, India","start_year":2024,"start_month":5,"end_year":2026,"end_month":4,"description":"• Designed and built PuzzleMe Agent, a production Google ADK/MCP multi-agent system spanning LLMs/VLMs, with planning, memory, structured outputs, and tools for Google Search, Wikimedia, and internal APIs. • Architected pgvector RAG for the PuzzleMe Agent with Gemini embeddings on Vertex AI; benchmarked HNSW, IVFFlat, and DiskANN vector indexes, selecting DiskANN for fastest retrieval; added BM25, HyDE, and Cohere Reranker. • Increased creator output volume by 60% through AI-assisted creation workflows. • Built Promptfoo eval loops with SME-calibrated LLM-as-Judge on 2-5% sampled production traces, heuristic evals, golden-dataset promotion, and CI gates; tracked tool accuracy, failures, latency, context, tokens, and session cost. • Deployed FastAPI AI services on GCP with Docker Compose and GitHub Actions, handling 15K-20K daily requests, including 10K agent requests, with 2x higher concurrency."},{"title":"Research Scholar","company":"Mass General Hospital + Harvard University","location":"Boston, USA","start_year":2023,"start_month":4,"end_year":2024,"end_month":4,"description":"• Achieved SOTA in surgical video segmentation (92.26% binary, 74.43% multi-class IoU) by improving video object segmentation pipelines, benchmarking strategy, and reliability-focused evaluation. • Built an annotation platform integrating SAM-Med2D and XMem++; resident and medical-student annotation with surgeon review reduced labeling time by 75%. • Benchmarked SAM/SAM2, XMem/XMem++, YOLO, and Mask R-CNN on Lambda Labs GPUs across dataset sizes and augmentation strategies, using ablation studies to quantify their impact on performance."},{"title":"Data Scientist","company":"Infinstor","location":"Remote","start_year":2021,"start_month":6,"end_year":2022,"end_month":7,"description":"• Built a LayoutLM-based document AI pipeline with Tesseract, PaddleOCR, handwritten OCR, and YOLO field detection for financial and tax forms, reducing processing time by 90%. • Implemented transformer-based anomaly detection for SQL queries and AWS CloudWatch logs using LogBERT, with automated metrics, drift monitoring, and error-pattern analysis."},{"title":"Dev Business Analyst","company":"Infor","location":"Hyderabad, India","start_year":2019,"start_month":7,"end_year":2021,"end_month":4,"description":"Engineered SQL ETL and mapping scripts for 4 enterprise CRM/ERP migrations spanning hundreds to thousands of tables from Microsoft Dynamics CRM and Salesforce into Infor."}],"education":[{"school":"Plaksha University","degree":"PGD","field_of_study":"Artificial Intelligence","start_year":2022,"end_year":2023,"description":"Technology Leaders Program. Credit standing: Gold Medalist (GPA: 9.6). Awards: Best student committee and Spirit of Plaksha. Teaching Assistant - NLP w/ Prof. Monojit Choudhury"},{"school":"JNTUH College of Engineering Hyderabad","degree":"B.Tech + MBA","field_of_study":"Mechanical Engineering","start_year":2014,"end_year":2019,"description":null}],"work_email":"abdksyed@gmail.com","phone":null,"calendar_url":null,"website_url":"https://syedak.com/","linkedin_url":"https://linkedin.com/in/syedabdul47","x_url":null,"github_url":null,"locked":[],"contact_visibility":"open","unlock_price_cents":null,"call_price_cents":null,"accepts_hiring_messages":true,"work_verified":false,"work_verified_domain":null,"is_public":true,"owned":false,"created_at":"2026-10-01T16:01:34.018923Z","agents":[],"agent_count":0,"follower_total":0,"posts":[],"posts_total":0}