I'm Eashan, an AI Engineer and Solution Architect with 5+ years delivering production-grade AI systems across consulting, mining, legal, and financial services. I engage across the full engagement lifecycle, from assessing whether AI is the right solution to shaping architecture, reviewing vendor designs, and building enterprise platforms that are auditable, governable, and scalable. I bring a consulting-native perspective to AI, with experience presenting strategic capability assessments to director level, conducting vendor architecture reviews, and making principled build-vs-buy decisions alongside hands-on implementation. I focus on multi-agent orchestration, RAG pipelines, and cloud-native deployment on Azure and GCP. My approach emphasizes governance, data sovereignty, and measurable outcomes, delivering solutions that balance risk, cost, and capability while ensuring operational resilience and security.

EASHAN DESHMUKH

I'm Eashan, an AI Engineer and Solution Architect with 5+ years delivering production-grade AI systems across consulting, mining, legal, and financial services. I engage across the full engagement lifecycle, from assessing whether AI is the right solution to shaping architecture, reviewing vendor designs, and building enterprise platforms that are auditable, governable, and scalable. I bring a consulting-native perspective to AI, with experience presenting strategic capability assessments to director level, conducting vendor architecture reviews, and making principled build-vs-buy decisions alongside hands-on implementation. I focus on multi-agent orchestration, RAG pipelines, and cloud-native deployment on Azure and GCP. My approach emphasizes governance, data sovereignty, and measurable outcomes, delivering solutions that balance risk, cost, and capability while ensuring operational resilience and security.

Available to hire

I’m Eashan, an AI Engineer and Solution Architect with 5+ years delivering production-grade AI systems across consulting, mining, legal, and financial services. I engage across the full engagement lifecycle, from assessing whether AI is the right solution to shaping architecture, reviewing vendor designs, and building enterprise platforms that are auditable, governable, and scalable. I bring a consulting-native perspective to AI, with experience presenting strategic capability assessments to director level, conducting vendor architecture reviews, and making principled build-vs-buy decisions alongside hands-on implementation.

I focus on multi-agent orchestration, RAG pipelines, and cloud-native deployment on Azure and GCP. My approach emphasizes governance, data sovereignty, and measurable outcomes, delivering solutions that balance risk, cost, and capability while ensuring operational resilience and security.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Work Experience

AI Solution Engineer at Urbis
April 1, 2025 - Present
Owns reliability and iterative improvement across the full Urbis AI product suite: triaging user-reported issues, shipping fixes, and deploying enhancements in response to live usage feedback. Coordinated cross-product CVE remediation across five production systems, updating dependencies and validating compatibility without disrupting live services. Led initiatives such as the Legal Document Chronology & Cited RAG System (May 2026–Present) and uBill (Feb–May 2026), delivering end-to-end AI-powered legal chronology, automated invoicing commentary, and governance-focused architectures. Also contributed to uNalysis (2025) for document intelligence with strict data residency and per-user isolation, uKnow (HR Q&A) across AU/SG, and uVals (Valuation Analytics) with live data interrogation. These efforts emphasize auditable prompt/versioning, per-event audit trails, versioned prompts, and fault-tolerant, decoupled pipelines.
Business & Technology Consultant III at Visagio
October 1, 2024 - February 1, 2025
Delivered BHP Marketing Intelligence Chatbot using dual-LLM routing (GPT-4o-mini for metrics-heavy reasoning and GPT-4o for general queries), with enterprise safety guardrails, session-level observability, and cost-aware inference. Supported BHP Rail Time Initiative data integrity improvements including geofence and timestamp fixes, and contributed to data-driven decision support for operational dashboards. Projects leveraged GCP Cloud Run, LangChain, Pinecone, HuggingFace, and Docker, with a focus on secure data handling and auditable outputs.
Academic Staff & Tutor at Deakin University
February 1, 2023 - September 1, 2024
Delivered programming seminars in Python and C++ to cohorts of 120+ international undergraduates, adapting technical content for diverse learning backgrounds. Provided structured mentorship across SIT202 (Secure Networking) and supported student progression through a technically demanding curriculum.
Associate Consultant at Atos Syntel
August 1, 2018 - March 1, 2022
Clients: Nokia, La Poste, Morgan Stanley. Delivered AI/ML-powered solutions including a BERT-based FAQ chatbot with intent classification and human escalation, a multilingual SAP-ticket routing classifier with high F1, and a computer-vision signature similarity model reframed as regression for continuous scoring. These engagements improved query handling, classification accuracy, and verification workflows.

Education

Master of Business Analytics (Marketing Technology) at Deakin University
January 11, 2030 - July 4, 2026
Bachelor of Engineering (Computer Science) at SPPU, India
January 11, 2030 - July 4, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Professional Services, Financial Services, Software & Internet