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Applied AI Engineer

Aditya More

Building reliable GenAI, RAG, Computer Vision, OCR, and Python-based backend systems for practical, real-world applications.

Snapshot

2+ Years of Applied AI Experience
97.4% mAP50 on Parcel Detection
RAG + Qdrant + FastAPI
Dockerized ML Workflows

Open to Applied AI, Generative AI, Machine Learning, and AI application development roles.

About

Applied AI for production-minded teams

I build applied AI systems that connect models, retrieval, evaluation, and backend services into workflows that can be inspected, improved, and deployed. My work focuses on practical GenAI systems, computer vision pipelines, OCR automation, and Python services for real-world use cases.

What I Focus On

Reliable AI workflows
Evidence-grounded GenAI systems
Real-world model evaluation
Python backend integration
Deployment-oriented ML engineering

Experience

Work and applied project experience

Software Engineering Intern

NDSoftTech Solutions · India

Jan 2023 - Jun 2023

Contributed to software engineering tasks across backend implementation, debugging, and application support.

  • Worked with engineering teams to implement maintainable application features.
  • Improved debugging, code review, and delivery habits in a production-oriented environment.
PythonBackend DevelopmentDebugging

Applied AI Engineer

Freelancer / Independent Projects · Remote

Jul 2023 - Present

Built applied AI prototypes and MVPs across RAG, OCR, computer vision, and LLM-backed workflows.

  • Designed evidence-grounded GenAI workflows using retrieval and validation patterns.
  • Built Python APIs and ML pipelines with practical deployment constraints in mind.
RAGFastAPIQdrantOCRDocker

AI/ML Engineer

Neilsoft · India

Jan 2024 - Present

Worked on ML and AI engineering tasks involving model evaluation, backend integration, and applied automation.

  • Integrated AI capabilities into practical engineering workflows.
  • Worked with model evaluation, data processing, and deployment-oriented implementation patterns.
Machine LearningPythonComputer VisionModel Evaluation

Projects

Selected AI systems

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Evidence-Grounded Resume Tailoring Platform

A RAG-based resume-tailoring system that generates role-specific resumes from verified user evidence using structured retrieval, deterministic validation, and human review.

Evidence-grounded generation with human review

RAGQdrantPostgreSQLFastAPINext.jsLaTeX
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Warehouse Parcel Monitoring System

A warehouse video-analytics pipeline for parcel-condition monitoring, OCR-assisted metadata extraction, movement tracking, and incident review.

92.7% precision

YOLOPyTorchOpenCVOCRFastAPIMLflow
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Math Mentor AI

An LLM and SymPy-based math-reasoning pipeline that independently verifies generated answers before presenting them to users.

Independent symbolic verification before response

LLMsSymPyPythonStructured OutputsVerification Workflows

Skills

Core technical skills

Generative AI & LLM Systems

LLMsRAGSemantic SearchVector EmbeddingsQdrantPrompt EngineeringStructured OutputsTool CallingHugging Face TransformersOllama

Computer Vision & Machine Learning

PyTorchOpenCVYOLOv5YOLOXYOLOv8OCRObject DetectionInstance SegmentationVideo AnalyticsModel Evaluation

Backend & Data Systems

PythonFastAPIREST APIsPostgreSQLSQLAlchemyAlembicPydanticPandasNumPy

MLOps & Infrastructure

DockerMLflowDVCCUDAGitGitHubExperiment TrackingArtifact VersioningModel Serving

Resume

Detailed resume

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Resume PDF

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Contact

Let's build reliable AI systems.

I'm open to opportunities in Applied AI, Generative AI, Machine Learning, and AI application development.

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