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Varnika V N

@varnikavn

Fresher AI/ML engineer skilled in Python, embedded systems, and data-driven solutions.

India
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What I'm looking for

I seek an entry-level role where I can apply AI/ML and embedded systems skills, learn from experienced teams, and contribute to impactful, data-driven products.

I am a motivated fresher with hands-on experience in AI/ML, Python programming, embedded IoT, and full-stack development, demonstrated through internships at Mphasis, JPMorgan Chase & Co., and Cranes Varsity. I contributed to a core banking savings account module, developed IoT edge applications on ESP32 using MicroPython, and implemented data-visualization and trading feed tasks, while building projects in computer vision and NLP.

I bring strong fundamentals in machine learning, NLP, data preprocessing and visualization, and practical experience with Java, SQL, Flask, and front-end technologies. I work well in collaborative environments, have contributed in hackathons and NSS activities, and seek to apply my analytical thinking to develop impactful AI-driven solutions.

Experience

Work history, roles, and key accomplishments

Mphasis logoMP

Trainee Associate Software Engineer

Mphasis

Feb 2025 - May 2025 (3 months)

Contributed to a savings account module for a core banking system, performing requirement analysis, Java development, SQL database integration, and testing for transaction processing and interest calculations during a 3-month training and internship period.

CV

IoT Edge Intern

Cranes Varsity

Feb 2023 - May 2023 (3 months)

Developed IoT edge applications on ESP32 using MicroPython to acquire sensor health data, preprocess with NumPy/Pandas, and deploy a web-based monitoring interface for real-time edge processing.

Education

Degrees, certifications, and relevant coursework

KT

K.S. Institute of Technology

Bachelor of Engineering, Artificial Intelligence and Machine Learning

2021 - 2025

Grade: CGPA: 8.84

Activities and societies: NSS activities, hackathons

Completed a Bachelor of Engineering in Artificial Intelligence and Machine Learning with a cumulative GPA of 8.84, focusing on AI/ML fundamentals, NLP, and data processing.

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