Varnika V N
@varnikavn
Fresher AI/ML engineer skilled in Python, embedded systems, and data-driven solutions.
What I'm looking for
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
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.
Completed tasks integrating stock price data feeds, using firm frameworks and tools to display data visually for traders, and contributed an open-source bonus task during a four-month internship.
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
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.
Availability
Location
Authorized to work in
Social media
Job categories
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