Senior AI / Machine Learning Engineer — Applied AI Researcher

I am Dipesh Shome

Perth, Australia • Specialized in LLMs, Agentic AI, RAG Systems, and Multimodal Learning
Translating applied research into scalable commercial solutions with 5-6x performance improvements
✓ Currently based in Perth, Australia with full-time work rights

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"In the garden of algorithms, every seed of data blooms into wisdom."
— Dipesh Shome

Chapter I: The Awakening

Where silicon dreams meet the whispered secrets of neural consciousness

Senior AI / Machine Learning Engineer with 3+ years of experience architecting and deploying production-grade AI platforms across healthcare, conversational AI, multimodal systems, and intelligent automation. Specialized in LLMs, agentic AI, RAG systems, and multimodal learning.
Proven track record of translating applied research into scalable commercial solutions, achieving 5-6x system performance improvements. Strong blend of deep engineering, applied research, and technical leadership. Currently based in Perth, Australia with full-time work rights, seeking senior or staff AI engineering and applied research roles in Australia.
My expertise spans the entire AI lifecycle—from research and innovation to production deployment, with particular strength in healthcare AI, multimodal systems, and autonomous reasoning architectures. I've architected systems supporting 1000+ concurrent users with enterprise-grade security and observability.
3+
Years Experience
5-6x
Performance Gains
80%
Latency Reduction
1000+
Concurrent Users

Chapter II: The Arsenal of Wisdom

Ancient scrolls and modern spells in the grimoire of artificial consciousness

🧙‍♂️

The Art of Neural Alchemy (Artificial Intelligence)

Master of the Ancient Algorithms, I summon digital spirits through Large Language Models, conjuring custom intelligences that speak in tongues unknown to mortal machines.

LLMs (GPT, BERT, ViT) Transformers Multimodal AI RAG NLP Computer Vision OCR Deep Learning
🤖

Agentic AI & Multi-Agent Systems

Architect of autonomous reasoning pipelines and multi-agent orchestration, I design intelligent systems that collaborate and reason through complex workflows using CrewAI and LangGraph.

LangChain LangGraph CrewAI Multi-Agent Systems Autonomous Reasoning
📊

The Oracle of Hidden Truths (Data Science)

Guardian of the Sacred Statistics, I divine meaning from chaos, transforming whispered numbers into crystalline insights that illuminate the path forward.

Python Serpent Pandas Spirit NumPy Foundation Visualization Spells
🏛️

The Keeper of Digital Realms (Databases)

Architect of infinite libraries and cloud kingdoms, I guard the sacred databases where knowledge sleeps, waiting to be awakened by the right incantation.

PostgreSQL MongoDB Redis Qdrant Pinecone
⚗️

The Bridge Builder (DevOps and APIs)

Forger of ethereal pathways between worlds, I craft API portals and deployment spells that allow intelligences to manifest in the physical realm.

Python FastAPI Flask REST gRPC AsyncIO Microservices
☁️

Cloud & MLOps

Master of cloud-native architectures and production-grade observability, I deploy scalable AI systems with distributed caching, load balancing, and event-driven architectures.

AWS GCP Docker Kubernetes MLflow CI/CD Langfuse Prometheus Grafana

Chapter III: The Chronicles of Mastery

Journey through my career in artificial intelligence and data science

Jul 2024 – Present

Artificial Intelligence Engineer

Tulip-Tech, United Kingdom

• Architected omnipresent multimodal AI agent platforms enabling real-time voice, text, and document-based healthcare interactions.
• Designed autonomous multi-agent reasoning pipelines using CrewAI to support clinical workflows and decision-making.
• Optimised RAG pipelines, reducing response latency from 25s to 4-5s (80% improvement).
• Built gRPC-based microservices achieving sub-100ms inter-service communication.
• Developed secure backend APIs using FastAPI, JWT, RBAC, and audit logging.
• Engineered event-driven architectures using AWS SQS for real-time system synchronisation.
• Established production-grade observability using Langfuse, Prometheus, and Grafana.
• Designed scalable cloud-native architectures using async processing, Redis caching, distributed rate limiting, and vector caching.
• Built intelligent medical and financial document pipelines using OCR + LLM parsing.

Feb 2022 – 2024

Lead AI/ML Engineer & Co-Founder

LifePlus Bangladesh Ltd

• Founded and led an AI-driven healthcare technology company delivering intelligent platforms for hospitals and diagnostic centres.
• Architected end-to-end healthcare AI systems integrating clinical NLP, LLM-powered assistants, multimodal AI, and analytics platforms.
• Designed AI-based patient triage, clinical summarisation, and appointment automation, improving hospital operational efficiency by 40%+.
• Built disease classification pipelines and predictive analytics systems using deep learning and transformer models.
• Developed medical and financial document automation platforms using OCR + NLP + LLMs for billing, insurance, prescriptions, and EMR ingestion.
• Designed enterprise data warehouses and ETL pipelines, reducing reporting latency by 50% and query cost by 40%.
• Led cross-functional teams across engineering, clinicians, and business stakeholders.

2016 – 2021

BSc in Computer Science & Engineering

Ahsanullah University of Science and Technology

CGPA: 3.40 / 4.00

Chapter IV: The Legendary Artifacts

Innovative AI solutions that drive real-world impact and business transformation

EMPATHIKA By CAREAPPS Logo

Omnipresent Multimodal Healthcare AI Agent Platform

Designed and deployed a real-time multimodal conversational AI system supporting voice, text, and document understanding. Integrated LLM-based reasoning, RAG pipelines, and multi-agent orchestration. Achieved sub-5s response latency and supported 1000+ concurrent users with enterprise-grade security and observability.

Multimodal AI CrewAI RAG FastAPI gRPC AWS
View Project →
🧠

Medical Text Classification using Transformers (2025)

Built SciBERT-based NLP pipelines on 49,473 clinical records across 11 specialties. Achieved 99.80% accuracy, solving extreme class imbalance (441:1). Published research demonstrating state-of-the-art performance in medical text classification.

SciBERT Transformers NLP Clinical Data
Research Paper →
LABAID AI Logo

Multimodal AI Consultation System (Healthcare) (2024-2025)

Developed multilingual AI systems integrating text, speech, and vision for automated clinical triage. Features real-time multimodal understanding with transparent AI reasoning and enterprise-grade security.

Multimodal AI Computer Vision Speech Processing Clinical Triage
View Project →
🧬

EEG Signal Processing & Brain-Computer Interface Systems (2022-2023)

Designed ensemble ML models achieving 10%+ performance gains in brain-computer interface applications. Advanced signal processing and feature extraction techniques for neural data analysis.

Signal Processing Ensemble ML BCI Neural Data
View Project →
🛣️

Road Quality Measurement from Satellite Imagery

Revolutionary computer vision system using satellite imagery for automated road quality measurement. Published in IEEE IGARSS 2022 with DOI: 10.1109/IGARSS46834.2022.98. Demonstrated practical application of deep learning for infrastructure assessment.

Computer Vision Satellite Imagery Deep Learning IEEE Publication
IEEE Paper →
Industry-Specific AI Chatbot

Industry-Specific AI Chatbot

Intelligent conversational AI solution tailored for specific industry domains, featuring custom knowledge bases, domain-specific NLP models, and adaptive learning capabilities to handle specialized queries and technical terminology.

Domain NLP Custom Training Knowledge Base Adaptive Learning
View Project → GitHub →

Chapter V: Research & Innovation

Advancing the frontiers of AI through applied research and innovation

2025

Medical Text Classification using Transformers

Built SciBERT-based NLP pipelines on 49,473 clinical records across 11 specialties. Achieved 99.80% accuracy, solving extreme class imbalance (441:1). This research demonstrates state-of-the-art performance in medical text classification.

2024-2025

Multimodal AI Consultation System (Healthcare)

Developed multilingual AI systems integrating text, speech, and vision for automated clinical triage. Features real-time multimodal understanding with transparent AI reasoning and enterprise-grade security.

2022-2023

EEG Signal Processing & Brain-Computer Interface Systems

Designed ensemble ML models achieving 10%+ performance gains in brain-computer interface applications. Advanced signal processing and feature extraction techniques for neural data analysis.

Publications

Automated Medical Text Classification Using Advanced Deep Learning
IICT 2025
Under Review
Road Quality Measurement from Satellite Imagery
IEEE IGARSS 2022
DOI: 10.1109/IGARSS46834.2022.98

Government & National Contributions

Bangladesh Technical Education Board (BTEB)
National Operating System curriculum modernisation
National Skills Development Authority (NSDA)
National Artificial Intelligence and Mixed Reality curriculum and assessment framework development

Chapter VI: Professional Excellence

Distinguished training and certification from world-renowned institutions

Top 30 Nationwide

Training of Trainers (TOT) - Advanced Machine Learning & Deep Learning

Indian Institute of Technology (IIT), Kharagpur, India
Jun 2022 - Jan 2023

Selected among top 30 professionals nationwide. Completed an intensive 7-month international fellowship focused on:

  • Advanced Machine Learning, Deep Learning, NLP, Reinforcement Learning, and Computer Vision
  • Hands-on training on deep neural architectures, transformer models, multimodal learning, and large-scale ML system design
  • Applied research projects on healthcare NLP, medical document intelligence, and data-centric AI methodologies
  • Pedagogical and technical training to design, deliver, and evaluate industry-aligned AI/ML curriculum
  • Collaboration with senior IIT faculty and industry mentors on real-world AI system deployment challenges

Let's Build the Future Together

Ready to transform your business with cutting-edge AI solutions? I bring a unique combination of technical expertise, research excellence, and practical implementation experience to deliver AI innovations that drive real business value.

📍 Currently based in Perth, Australia | ✓ Full-time work rights

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