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JANAPALA LOHITH KUMAR

@janapalalohithkumar

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Aspiring AI/ML engineer skilled in PyTorch, TensorFlow, and cloud model deployment.

India

Message

What I'm looking for

I seek an AI/ML role where I can build and deploy scalable models, work in collaborative teams, and grow technical expertise in cloud-based ML solutions.

I am an aspiring AI/ML engineer with hands-on experience building and deploying models using PyTorch, TensorFlow, Keras, and cloud platforms (GCP/AWS). I have delivered practical projects—real-time sentiment analysis, an IoT-based AirGuard system, and a full-stack online art gallery—while improving model performance through iterative tuning and optimization.

I collaborate effectively in fast-paced teams, mentor peers in Operating Systems and Advanced Java, and continuously learn new technologies to drive impactful, sustainable solutions. My internships and certifications demonstrate practical proficiency in ML engineering, cloud deployment, and data pipeline design.

Experience

Work history, roles, and key accomplishments

Current

Student Peer Mentor

Current

KL University

Jul 2024 - Present (1 year 3 months)

Mentored peers in Operating Systems and Advanced Java while guiding students on deep learning and cloud-based AI-ML methodologies since July 2024.

Mentoring Java Operating System Deep Learning Cloud)Communication Teamwork

Skill Development Intern

APSSDC - EDUNET

May 2024 - Jun 2024 (1 month)

Applied machine learning techniques to improve sentiment classification, preprocessing diverse datasets and achieving classification accuracy of around 88%.

Python NLP Sentiment Analysis)data preprocessing Machine Learning TensorFlow Model Evaluation

Cohort Intern

AICTE - EDUSKILLS

Apr 2024 - Jun 2024 (2 months)

Utilized Google Cloud Platform for scalable AI model deployment and used TensorFlow/Keras to build and deploy models, contributing to iterative tuning and code reviews that improved performance by ~90%.

GCP)TensorFlow Keras PyTorch & Model Tuning Python Data Processing

AI/ML Project Lead

KL University

Developed and deployed projects including a real-time sentiment analysis pipeline (CNN-LSTM) improving performance ~10% and an AirGuard IoT-based air quality system reducing response time by ~15%.

Python CNN LSTM NLP IoT AWS

Education

Degrees, certifications, and relevant coursework

KL University

Bachelor of Technology, Computer Science

2022 -

Grade: 9.58 CGPA

Activities and societies: Student Peer Mentor; Student Activity Centre Council Head; VYUHA Chief Coordinator; projects: Real Time Sentimental Analysis, AirGuard, Online Art Gallery System

Pursuing B.Tech in Computer Science at KL University with strong academic performance and practical project experience in AI/ML and full-stack development.