i
ibrahim8047

Mohd Ibrahim

@ibrahim8047

AI Machine Learning Engineer

Índia
Inglês, Urdu
Algumas informações são exibidas no idioma inglês.
Sobre mim
Results-driven AI & ML Engineer specializing in LLM integration, NLP, and database automation. Proficient in Python, LangChain, OpenAI, SQL, and Streamlit. Delivered production-ready AI solutions with expertise in RAG pipelines, NL-to-SQL systems, and ML deployment. Experienced in building: - NL-to-SQL chatbots for business intelligence - RAG-based document Q&A systems - ML dashboards with Streamlit & Plotly - Secure AI pipelines with governance compliance Available for freelance projects with fast delivery and clear communication. Let's build something great! ... Saiba mais

Habilidades

i
ibrahim8047
Mohd Ibrahim
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Integrações de IA
I will build an ai chatbot to query your database using nlp
A partir deUS$ 90 /projetoMais detalhes

Experiência profissional

Freelancer.com

Hybrid AI Query System

Freelancer.com • Autônomo

Nov 2025 - Mar 2026 • 4 mos

▸ Architected an end-to-end encrypted (E2EE) natural language to SQL pipeline using a Large Language Model (LLM), converting plain-English questions into validated SQL queries with TLS-encrypted data transmission between client and database layers. ▸ Implemented a multi-layer data governance framework enforcing role-based access control (RBAC), audit logging of all query executions, and a strict SELECT-only security policy to prevent unauthorized data modification, deletion, or injection attacks — fully compliant with data privacy best practices. ▸ Integrated dual-database support (MySQL and Microsoft SQL Server) with dynamic schema validation and schema-aware query generation to ensure accurate, context-sensitive SQL output across heterogeneous environments. ▸ Deployed an interactive Streamlit dashboard with parameterized query execution, real-time result visualization via Plotly charts, and error-handling pipelines — reducing manual SQL effort by enabling non-technical stakeholders to query databases securely. ▸ Applied input sanitization and query whitelisting to mitigate SQL injection vulnerabilities, aligning with OWASP Top 10 security standards and enterprise data governance policies.