PythonGoogle ADKpipecatagentic ai
AI Engineer
Aditya More
I build AI systems that go beyond the model - from agentic workflows and RAG systems to conversational, voice, and multimodal applications. I focus on understanding the problem first, designing the right system, and iterating until it works reliably in the real world.
WORKS
A selection of projects showcasing my work in applied AI engineering.
ABOUT ME
WHO I AM
I'm an Independent AI Engineer focused on building agentic AI systems and practical AI products.
EXPERIENCE
Applied AI Engineer
Freelancer / Independent Projects · Remote
Jul 2025 – Present
I’ve been building production-oriented AI systems, moving from individual model experiments toward complete systems that can reason over video, match candidates, validate outputs, and run reliably in production environments.
My work has included multimodal video understanding, semantic candidate ranking, and AI pipeline orchestration, with an emphasis on reliability, concurrency, validation, and deployment.
Multimodal AIVLMLLMsemantic searchembeddingscandidate rankingai-pipelinespythonconcurrent processingfailure isolationdata validationschema validationexperiment trackingdockergpu deploymentmlflowlangchainlanggraphragagentic ai
AI/ML Engineer
Neilsoft · India
Jul 2023 – Jul 2024
I worked primarily on computer vision and machine learning for engineering applications, taking models from dataset preparation through evaluation and experimentation.
This involved building detection and segmentation systems, improving dataset quality, benchmarking different architectures, and exploring 3D point-cloud segmentation for engineering environments.
Machine LearningPythonComputer VisionModel EvaluationPyTorchYOLOv5YOLOXYOLOv8opencvobject detectiondataset engineeringpandas
Independent AI Engineer
What I Can Build
AI systems shaped around real problems, from understanding the workflow through validation and iteration.
WORKING PROCESS
How I approach every applied AI project — from problem framing to deployment.
Understand
Understand the problem, goals, users, and constraints.
Explore
Research possible approaches and determine where AI can actually help.
Design
Define the solution, architecture, and technical approach.
Build
Turn the plan into a working AI system.
Validate
Test it against the real requirements and identify what needs improvement.
Iterate
Refine the system based on what we learn.
Get in Touch
LET'S
TALK NOW
Have something you're building, exploring, or trying to solve? I'm open to conversations around AI engineering, ML systems, and interesting technical problems.