Syed User
@syeduser4
Applied AI engineer specializing in RAG systems, LangChain, and production AI products.
What I'm looking for
I am an Applied AI Engineer focused on designing and shipping production-ready AI solutions independently, with end-to-end ownership from data ingestion to UI delivery. I built and deployed three AI products—financial analytics, legal intelligence, and a media intelligence platform—serving 200+ users and demonstrating measurable business impact.
My technical strengths include Python, LangChain, RAG pipelines, ChromaDB, and model integration using frameworks like PyTorch and TensorFlow, complemented by strong data skills (Pandas, NumPy, SQL) and deployment experience using Streamlit and API integrations. I emphasize reliability and cost optimization, having engineered custom vector search pipelines that reduced API costs by ~40% and established testing workflows yielding 99.9% uptime for beta users.
I thrive in remote, asynchronous environments and bring a product-minded approach to AI engineering, driving efficiency gains such as 70% faster contract reviews and 99% accuracy in short-term cashflow prediction. I am immediate-joiner ready, passport prepared, and open to global relocation, including GCC and SEZs.
Experience
Work history, roles, and key accomplishments
Applied AI Engineer
Independent R&D
Jan 2024 - Present (2 years 1 month)
Architected and deployed three end-to-end AI products (financial analytics, legal intelligence, media platform) achieving 99% financial prediction accuracy, 70% contract review time reduction, and reliable usage by 200+ beta users with 99.9% uptime.
Education
Degrees, certifications, and relevant coursework
Maulana Abul Kalam Azad University of Technology
Bachelor of Technology, Computer Science & Engineering
2022 -
Grade: 7.8/10
Activities and societies: State board scores: Mathematics 97/100 and English 92/100; National Rank 162/18,773 in Naukri CodeQuezt #23; Google Startup School Certified; specialized GenAI & LLM training.
Pursuing B.Tech in Computer Science & Engineering at MAKAUT with a CGPA of 7.8/10 (2022–2026).
Availability
Location
Authorized to work in
Job categories
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