Aditya Paliwal

AI Researcher

Indore, Madhya Pradesh, India1 yr 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing AI-driven agritech solutions.
Proficient in end-to-end machine learning pipelines.
Strong background in computer vision and model optimization.

Stackforce AI infers this person is a skilled AI Engineer specializing in agritech and machine learning solutions.

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Skills

Core Skills

Python (programming Language)Product ResearchArtificial Intelligence (ai)Computer VisionMicrosoft AzureCloud Computing

Other Skills

AutomationData AnalysisData ScienceData StructuresDeep LearningDjangoFastAPIGitHubLangChainMachine LearningMicrosoft Power BINatural Language Processing (NLP)PostgreSQLSQLStrategic Planning

About

I’m an AI Engineer who builds real-world Machine Learning and Computer Vision systems using Python, YOLO, TensorFlow, and Django/FastAPI. Over the last year, I’ve worked with an early-stage agritech startup, developing end-to-end AI features — from data collection to model training to backend deployment. I enjoy solving real problems through practical AI, not just theoretical ML. My work includes: 🔹 Computer Vision (YOLOv8, OpenCV, Custom Training) Plant disease & pest detection Multi-class image classification Model optimization & preprocessing 🔹 Machine Learning Pipelines Supervised learning models Feature engineering Experiment tracking Inference pipelines 🔹 Python Backend Development ML APIs with FastAPI & Django Model deployment Logging, error handling, versioning 🔹 Data Engineering & Scraping Built large datasets (10,000+ samples) Automated scraping pipelines Cleaning, labeling, ETL processes 🔹 Product & Domain Research I’ve also researched user needs, government schemes, and competitor products to help shape AI-driven agritech solutions. I’m currently looking for opportunities as: AI Engineer | ML Engineer | Computer Vision Engineer | Python Developer (Backend + AI)

Experience

Agritech startup

AI & Python Engineer

Jan 2024 – Jan 2025 · 1 yr · Remote · Remote

Artificial Intelligence (AI)LangChainComputer VisionPython (Programming Language)Machine LearningYolo+1

47billion

Software Associate

Sep 2023 – Apr 2025 · 1 yr 7 mos · Indore, Madhya Pradesh, India · On-site

Python (Programming Language)Product ResearchAutomationWorkflow ManagementData AnalysisStrategic Planning

Ve commercial vehicles ltd.

Data Science Intern

May 2023 – Jul 2023 · 2 mos · Indore, Madhya Pradesh, India · On-site

Analyzed complex vehicle datasets to extract actionable insights for performance and reliability enhancements.
Developed predictive models to optimize business applications and forecast component needs.
Collaborated with engineering teams to validate data and document findings, enhancing data-driven decision-making.

Medi-caps university

AI/ML Researcher

Jan 2023 – Apr 2023 · 3 mos · Indore, Madhya Pradesh, India · On-site

Co-authored a peer-reviewed research paper on an equitable doctor shift scheduling system using machine learning.
Investigated and implemented various machine learning algorithms to address complex optimization challenges.
Managed the complete research lifecycle, including data collection, pre-processing, experimentation, and results analysis.
Developed strong analytical and problem-solving skills while working in a collaborative academic environment.

Microsoft

Data & AI Intern

Sep 2022 – Dec 2022 · 3 mos · Remote

Gained hands-on experience with core Microsoft Azure services, including Azure Virtual Machines, Blob Storage, and resource management in an enterprise context.
Participated in structured corporate training on Azure Fundamentals, Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).
Acquired practical exposure to cloud deployment pipelines, Azure DevOps, and identity management tools, providing a strong foundation in MLOps principles.

Microsoft AzureMicrosoft Power BICloud ComputingGitHub

Medi-caps university

AWS Academy Graduate - Cloud Foundations

May 2022 – Aug 2022 · 3 mos · Indore, Madhya Pradesh, India · On-site

Completed an intensive AWS Academy training program, mastering core services like EC2, S3, IAM, and VPC.
Developed a comprehensive understanding of cloud architecture principles for scalable application deployment.
Engaged in hands-on projects that enhanced practical skills in cloud solutions, preparing for real-world challenges.