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A

Abhilash Chinnamsetti

AI / Machine Vision Software Intern

Sweden flagKarlskrona, Sweden
$14.90/hrIntermediateArgillaAnno MageAppen

Key Skills

Software

ArgillaArgilla
Anno-MageAnno-Mage
AppenAppen
AWS SageMakerAWS SageMaker

Top Subject Matter

Machine Vision
Streaming Data
AI Model Validation

Top Data Types

TextText
ImageImage

Top Task Types

ClassificationClassification
SegmentationSegmentation
Point/Key PointPoint/Key Point
PolylinePolyline
CuboidCuboid
Object DetectionObject Detection
Entity (NER) ClassificationEntity (NER) Classification
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
RLHFRLHF
Fine-tuningFine-tuning
Red TeamingRed Teaming

Freelancer Overview

AI / Machine Vision Software Intern. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Blekinge Institute of Technology (2025) and Bachelor of Science, Blekinge Institute of Technology (2025). AI-training focus includes data types such as Text and labeling workflows including Classification.

IntermediateEnglish

Labeling Experience

AI / Machine Vision Software Intern

TextClassification
During my internship, I worked on AI-powered data processing pipelines handling vision-adjacent, streaming numerical data. I applied machine learning techniques such as anomaly detection and pattern analysis to enhance data reliability. My primary focus was on building testable code and integrating automated validation processes into robust AI solutions. • Engaged in quality assurance and validation for AI model outputs • Implemented data enrichment and cleansing routines as part of pre-labeling steps • Collaborated with developers to integrate continuous feedback loops for improving models • Produced and validated annotated datasets on streaming data for AI/ML pipelines

During my internship, I worked on AI-powered data processing pipelines handling vision-adjacent, streaming numerical data. I applied machine learning techniques such as anomaly detection and pattern analysis to enhance data reliability. My primary focus was on building testable code and integrating automated validation processes into robust AI solutions. • Engaged in quality assurance and validation for AI model outputs • Implemented data enrichment and cleansing routines as part of pre-labeling steps • Collaborated with developers to integrate continuous feedback loops for improving models • Produced and validated annotated datasets on streaming data for AI/ML pipelines

2022 - 2023

Education

B

Blekinge Institute of Technology

Bachelor of Science, Computer Science and Engineering

Bachelor of Science
2024 - 2025
J

JNTUk College of Engineering

Bachelor of Science, Computer Science and Engineering

Bachelor of Science
2021 - 2024

Work History

B

Blue Science Park

Software Engineering Intern

Karlskrona
2025 - 2025
M

Microsoft

Software Engineering Intern

Hyderabad
2023 - 2024