Saquib Ahmad

Senior Software Engineer

Bengaluru, Karnataka, India11 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in Machine Learning and Data Mining.
Strong background in algorithm design and implementation.
Proven experience in developing data science products.

Stackforce AI infers this person is a Machine Learning and Data Science expert with a focus on algorithm development.

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Skills

Other Skills

MatlabVerilogStatisticsData AnalysisHyperspectral ImagingOpenCVPowerPointLinuxComputer VisionParallel ComputingParallel ProgrammingPython (Programming Language)

About

Hi, I'm Saquib. I'm passionate about algorithm design for Machine Learning, Data Mining, Signal Processing and Image Processing applications. Programming Languages: C, C++, Java, Python, Cython, CUDA/C. Data Science Tools: Ipython, R, Flow numpy, scipy, scikit-learn, h2o, xgboost, nolearn, lasagne, TensorFlow matplotlib, seaborn

Experience

Google

Senior Software Engineer

Jan 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Jpmorgan chase & co.

Lead Data Scientist

Mar 2019 – Jan 2025 · 5 yrs 10 mos · Bengaluru, Karnataka, India

Centillion research

Applied Data Scientist

Jul 2018 – Dec 2018 · 5 mos · Bengaluru, Karnataka, India

Investabit

Machine Learning Contractor

Mar 2018 – May 2018 · 2 mos

Independent Contractor

Shuttl

Data Scientist at Super Highway Labs

Mar 2016 – Jun 2018 · 2 yrs 3 mos · Gurgaon, India

Delhivery

Data Scientist

Nov 2014 – Oct 2015 · 11 mos · Gurugram, Haryana, India

Contributed in the development and improvement of Data Science Product for Geocoding. Applied diverse NLP, text mining, text search and geocoding techniques.

Indian institute of technology, kharagpur

Undergraduate Researcher, Department of Electrical Engineering

Apr 2013 – May 2014 · 1 yr 1 mo · Kharagpur

Researched, analysed and implemented diverse algorithms for Hyperspectral data analysis on MATLAB.
Designed and analysed algorithms for Dimensionality Reduction and Classification of Hyperspectral Imagery.
Designed an Adaptive Bilateral Filtering technique for Hyperspectral Imagery and proposed a method for statistical determination of filter parameters.
Performed scalable and efficient Parallel Algorithm design for the imagery on GPU using CUDA/C.