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Mohammad Aqueel

@mohammadaqueel

AI/ML engineer building scalable NLP and LLM-driven production systems.

India
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What I'm looking for

I seek roles building production-ready AI/LLM products with strong emphasis on scalable ML systems, real-time inference, collaborative teams, and opportunities to drive impact through engineering and model improvements.

I am an AI/ML engineer with over two years of experience designing and deploying end-to-end AI and LLM systems for production use. I focus on building scalable, real-time applications including voice agents, semantic search, and histopathology analysis platforms.

At Softsensor AI I developed deep learning models for cell and nuclei detection on very large WSI/DICOM images, created internal DICOM handling libraries, and integrated ML models via FastAPI into a web annotation platform with real-time editing.

I built hybrid semantic search and domain-aligned QA systems using vector databases (Qdrant) and re-ranking techniques (ColBERT), plus multilingual handling and intent-based classification to improve retrieval relevance and user experience.

I engineered voice-based conversational AI solutions using streaming and speech-to-speech tooling, plus microservices, Docker orchestration, WebSocket and queue systems for long-running inference, and managed data with Postgres, MongoDB and vector stores to enable analytics and human-in-the-loop workflows.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

JH

JNTUH College of Engineering, Hyderabad

Bachelor of Technology, Engineering

2019 - 2023

Grade: 7.2 CGPA

Completed a B.Tech program with a 7.2 CGPA from 2019 to 2023 focusing on engineering coursework and practical projects.

SC

Shri Chaitaniya Jr. College

Intermediate, Intermediate

2016 - 2018

Grade: 92%

Completed intermediate education with 92% during 2016–2018, focusing on pre-university coursework.

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Mohammad Aqueel - Data Scientist - Softsensor AI | Himalayas