A Sharma
Solutions Architect at Bosch Global Software Technologies
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolAditya Sharma is a Senior Data Architect with 11 years of experience building scalable data platforms and AI/ML solutions for global enterprises including AT&T, PepsiCo and AB-InBev. He designs and delivers end-to-end pipelines that integrate Teradata, SAP, APIs and cloud data lakes to power analytics, forecasting and GenAI use cases across telecom, supply chain and transit domains. Known for a pragmatic, fault-finding approach, he actively breaks systems to uncover edge cases and drive robust design improvements. A hands-on big-data engineer comfortable with Spark, Databricks, Delta Lake and TensorFlow, he has contributed ML code—such as a denoising autoencoder and t-SNE visualization—to popular open-source learning repositories. With an MTech in AI from BITS Pilani and a track record of turning complex, multi-source feeds into single sources of truth, he thrives in fast-paced environments and enjoys mentoring teams to operationalize advanced analytics.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Electronics and Telecommunication, Major GPA : 8.1, Bachelor of Technology - BTech, Electronics and Telecommunication, Major GPA : 8.1 at Amity University, Gautam Budh Nagar
English, Hindi, Punjabi, French
Github Skills (10)
computer-vision10
deep-learning10
tensorflow10
autoencoder10
python9
machine-learning9
neural-network8
image-processing8
deep-neural-networks8
matplotlib7
Programming languages (6)
Github contributions (5)
spmallick/learnopencv
Nov 2017 - Jul 2021
Learn OpenCV : C++ and Python Examples
Role in this project:
ML Engineer
ML EngineerContributions:9 reviews, 110 commits, 57 PRs in 3 years 9 months
Contributions summary:A contributed to the development of a denoising autoencoder using TensorFlow, as demonstrated by code changes in an IPython notebook. Their work involved importing necessary libraries like NumPy, TensorFlow, and Matplotlib, defining network layers (encoder and decoder), and implementing the loss function and optimizer. Further, the user also added code for saving the visualization of t-SNE plots.
cpppythoncomputer-visionmachine-learningai
aditya-AI/Detecting-True-and-Deceptive-Hotel-Reviews
Oct 2017 - Oct 2017
Contributions:5 commits, 4 pushes, 1 branch in 1 day
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