Shalini S K

AI Researcher

Bengaluru, Karnataka, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • 1st place at GCU International Conference for AI research.
  • Hands-on experience in building intelligent systems.
  • Strong academic track record in AI/ML engineering.
Stackforce AI infers this person is a skilled AI/ML engineer with a focus on product-driven AI solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningDeep LearningData AnalyticsData Science

Other Skills

Amazon EC2Amazon Web Services (AWS)AnchoringC (Programming Language)C++Cascading Style Sheets (CSS)ChatGPTChatbot DevelopmentClaudeCommunicationComputer NetworkingComputer ScienceConfluenceConvolutional Neural Networks (CNN)Dashboard Building

About

I’m Shalini S K, a final-year AI/ML engineering student with a strong academic track record and hands-on experience in building intelligent systems. I specialize in Machine Learning, Generative AI, NLP, and Data Science, and I enjoy working on projects that combine innovation, research, and real-world impact.Over the years, I’ve presented research, participated in hackathons, completed multiple internships, and earned certifications across AI, ML, and cloud technologies. I secured 1st place at the GCU International Conference for presenting my research on AI and Sign Language, validating my passion for impactful AI solutions.I love taking ownership of end-to-end problem-solving—from data exploration and model development to evaluation and deployment. I’m continuously building my expertise in Generative AI frameworks, LLMs, prompt engineering, applied ML, and cloud-based AI pipelines.I am currently seeking opportunities as a Generative AI Engineer, AI/ML Engineer, or AI Product Manager, where I can contribute to meaningful AI-driven products, work with innovative teams, and grow into leadership roles within the AI space.🔍 Interests: Generative AI, LLMs, NLP, Data Science, AI Research, AI Product Strategy💡 Strengths: Rapid learning, problem-solving, clear communication, adaptability, end-to-end execution🚀 Goal: To build intelligent, ethical, and scalable GenAI solutions—and eventually lead as an AI Product Manager driving high-impact AI systems.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Infosys

AI Intern

Nov 2025Jan 2026 · 2 mos · Remote

  • Emotion Detection System (Computer Vision & Deep Learning Project)
  • Designed and implemented an emotion detection system using facial image data to classify human emotions such as happy, sad, angry, surprised, and neutral.
  • Performed data preprocessing, including image normalization, resizing, and augmentation to improve model generalization.
  • Built and trained a Convolutional Neural Network (CNN) for emotion classification, optimizing performance through hyperparameter tuning.
  • Evaluated model performance using accuracy and loss metrics, and iteratively refined the architecture to reduce overfitting.
  • Integrated the trained model into a Python-based application for real-time or batch emotion prediction from images.
  • Gained hands-on experience in deep learning workflows, computer vision pipelines, and practical model evaluation.
Python (Programming Language)Machine LearningDeep LearningImage ProcessingConvolutional Neural Networks (CNN)TensorFlow+1

Product manager accelerator

Software Engineer-AI/ML

Sep 2025Present · 9 mos · Remote

  • Working at the intersection of artificial intelligence and product innovation, I contribute to building scalable AI/ML solutions that enhance product decision-making and user experience.
  • At Product Manager Accelerator, I collaborate with cross-functional teams to:
  • Design and deploy machine learning models
  • Integrate AI capabilities into product workflows
  • Optimize model performance and evaluation metrics
  • Support data-driven product strategy
  • Focused on delivering measurable impact through intelligent systems and product-centric engineering.
Artificial Intelligence (AI)Machine LearningJiraConfluenceCommunicationTeam sync+1

Agamya cyber tech

AI Analyst Intern

Sep 2025Nov 2025 · 2 mos · Bengaluru, Karnataka, India · Hybrid

  • Selected as an AI Analyst Intern at Agamya Cyber Tech
  • Excited to contribute to cybersecurity solutions by applying my knowledge of AI/ML, deep learning, and data analytics.
  • Responsibilities include data collection and preprocessing, exploratory data analysis (EDA), building and evaluating predictive models, creating interactive dashboards, and presenting actionable insights to help strengthen security strategies.
PythonArtificial Intelligence (AI)Convolutional Neural Networks (CNN)OpenCVMicrosoft Power BIDashboard Building+2

1m1b (1 million for 1 billion)

1M1B Green Internship Program

May 2025Jun 2025 · 1 mo · Remote

Artificial Intelligence (AI)Vibe codingSustainabilityChatbot Development

Edunet foundation

AI and Data Analytics Intern with Green skill

Feb 2025Mar 2025 · 1 mo · Remote

Green skillsArtificial Intelligence (AI)Convolutional Neural Networks (CNN)Streamlit

Infosys

Infosys Pragati Cohort 3 Participant

Dec 2024Jan 2025 · 1 mo · Remote

Data ScienceArtificial Intelligence (AI)Generative AILeadershipCommunication

Internpro

Virtual Internship in Cloud Computing

Sep 2024Dec 2024 · 3 mos · Remote

Amazon Web Services (AWS)Amazon EC2GitHubOAuth

Education

Garden City University

Bachelor of Technology - BTech

Nov 2022Nov 2026

St.Anne's Pre-University College for Girls

PCMC

May 2020Mar 2022

ST.Antony's Girls' High School

10th

May 2017Mar 2020

Internshala Trainings

Placement Preparation Certification Course — Placement Preparation

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