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Abu Talha Ansari

@abutalhaansari

AI/ML engineer focused on deep learning, NLP, and production-ready model deployment.

India
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What I'm looking for

I seek a role building production-ready AI/ML solutions—especially NLP and deep learning—in collaborative teams that value ethical, research-driven innovation and opportunities for technical growth.

I am a third-year Artificial Intelligence and Machine Learning student with hands-on experience building end-to-end AI solutions, from data preprocessing to production-ready model deployment.

I have implemented and evaluated multiple deep learning architectures (LSTM, Bi-LSTM, GRU, CNN-LSTM, Attention-based models) for real-world NLP tasks, achieving over 90% accuracy on e-commerce text classification and delivering robust, optimized pipelines.

Through internships and project leadership, I have developed semantic search systems, anomaly detection for smart grids, and AI-enhanced retail prototypes, often integrating APIs, vector search (FAISS), and cloud tools to create explainable, user-centric products.

I value collaboration, continual learning, and ethical AI practices, and I seek roles where I can contribute technical depth, creativity, and problem-solving to innovative teams pushing the boundaries of AI.

Experience

Work history, roles, and key accomplishments

AL

Summer Intern

AIQuantum Smart Solutions Private Limited

Apr 2025 - May 2025 (1 month)

Designed and implemented 5+ deep learning architectures for e-commerce text classification, achieving over 90% accuracy and improving category tagging reliability; developed production-ready preprocessing and ML pipelines and led comparative evaluation to select attention-based LSTM for best performance.

Education

Degrees, certifications, and relevant coursework

New Horizon College of Engineering logoNE

New Horizon College of Engineering

Bachelor of Engineering, Artificial Intelligence & Machine Learning

2023 -

Grade: 9.71/10.0

Activities and societies: Project work in deep learning, NLP, semantic search, and internship experience; technical clubs and hackathons.

Pursuing a Bachelor of Engineering in Artificial Intelligence & Machine Learning with strong academic performance (CGPA: 9.71/10.0) and hands-on projects in deep learning and NLP.

CC

Cambridge PU College

Pre-University Course, Pre-University Course (PCMC)

2021 - 2023

Grade: 94.16%

Completed Pre-University Course (PCMC) with a focus on Physics, Chemistry, Mathematics, and Computer Science, achieving 94.16% overall.

SS

SJES Central School

Secondary School Leaving Certificate (CBSE), Secondary Education

Grade: 86.5%

Completed Secondary School Leaving Certificate (CBSE) with a percentage of 86.5%.

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