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Barakam Neeraj

@barakamneeraj

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Aspiring machine learning engineer specializing in AI, optimization, and scalable data-driven solutions.

India

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What I'm looking for

I seek a role where I can apply ML and AI skills to build scalable, impactful systems, collaborate on cross-functional teams, and continue learning in production settings.

I am a machine learning engineer with hands-on experience building optimization models, NLP pipelines, and deep learning systems that deliver measurable performance gains. My projects span emergency resource allocation, sentiment analysis, image captioning, and IoT-based safety systems.

I focus on practical, high-impact solutions — for example, an allocation model that achieved 85% efficiency and cut response time by 30%, and an image captioner with BLEU-4 of 0.42 and sub-2s latency. I combine strong programming skills in Java and Python with libraries such as NumPy, Pandas, and NetworkX.

I pursue continuous learning and validated skills through certifications in Java, algorithms, databases, and cloud/AI foundations, and I aim to join teams that value data-driven design, robust engineering, and measurable outcomes.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Kalasalingam Academy of Research and Education

Developed ML and optimization projects including an image captioning model (BLEU-4 0.42) and a Twitter sentiment classifier (70% validation accuracy), and implemented a Hopcroft–Karp based emergency resource allocation achieving 85% allocation efficiency and 30% reduced response time in simulations.

Python Machine Learning Neural Networks NLP Computer Vision Networkx Optimization data preprocessing

Education

Degrees, certifications, and relevant coursework

Kalasalingam Academy of Research and Education

Bachelor of Technology, Computer Science and Engineering

2022 -

Grade: CGPA: 8.59

Pursuing Bachelor of Technology in Computer Science and Engineering with coursework in Machine Learning, Data Structures and Algorithms, Database Management, and Probability and Statistics; cumulative CGPA 8.59.