Mrinmoy Maity

Machine Learning Engineer

India13 yrs 11 mos experience

Key Highlights

14 years of experience in industry and academia.
Expertise in resource-efficient deep learning models.
Proficient in machine learning applications across various domains.

Stackforce AI infers this person is a Machine Learning Engineer with a strong focus on Deep Learning and Data Science in the tech industry.

Contact

Skills

Core Skills

Machine LearningDeep LearningSemantic SearchSoftware EngineeringResearchData ScienceTeachingGenerative ModelsCloud NetworkingSoftware Development

Other Skills

CC++TCP/IPHTTPData StructuresAlgorithmsOperating SystemsCloud ComputingMemory ManagementDatabase ManagementPuzzle Solving TechniquesHTMLVirtualizationNetwork SecurityApplication Architecture

About

* Over the course of last 14 years, worked in industry and academia and became proficient in understanding and developing state-of-art research and engineering practices. * Primary Interests lies in finding real world applications of Machine Learning: Resource Efficient Deep Neural Networks; Computer Vision, Speech Recognition and Natural Language Processing; Generative Models; Data Sciences. * Programming Languages: Python, Java, C, C++, C#, R, Matlab * Machine Learning recipes: Clustering, Logistic regression, Neural Networks, Random Forest, XGBoost etc. * Deep Learning frameworks: Tensorflow, Theano, PyTorch, Keras, Neon, Caffe, Lasagne * Algorithmic Paradigms: Dynamic Programming, Search & Sort Algorithms, Graphs, Backtracking, Greedy Approaches. * Offline Analytics Databases: Hadoop, Hive, Spark * NoSQL Big data: Redis, MongoDB, Cassandra, Hive, HDFS. * Machine Learning and Data Processing: Scikit-learn, Scipy, Numpy, Pandas, Matplotlib, Hadoop, Spark Hive, Kafka, Cassandra, Airflow * Computer Vision: Opencv, OCR, ROS, SSD, Yolo, VGG, Inception. Image Classification, Object Detection and Scene Segmentation * NLP: Gensim, Nltk, Spacy, Textacy * Voice: Librosa, SpeechRecognition * Visualization: NetworkX, Matplotlib, Seaborn, Tableau

Experience

13 yrs 11 mos

Total Experience

2 yrs 7 mos

Average Tenure

11 mos

Current Experience

Amazon

Senior Machine Learning Engineer

May 2025 – Present · 11 mos · Bengaluru, Karnataka, India

Amazon Music Search Science

Machine LearningDeep Learning

Flipkart

Software Engineer 4

Apr 2022 – Feb 2025 · 2 yrs 10 mos · Bengaluru, Karnataka, India

Flipkart Semantic Search

Semantic SearchSoftware Engineering

Microsoft

2 roles

Software Engineer 2

Sep 2021 – Dec 2021 · 3 mos

Microsoft Research & Incubations

ResearchMachine Learning

Data & Applied Scientist 2

Mar 2020 – Sep 2021 · 1 yr 6 mos

Azure ML Platform

Machine LearningData Science

Nervana

Data Science Intern

May 2017 – Aug 2017 · 3 mos · San Diego County, California, United States

Member of Data Science team which is a sub-team of Core Algorithms team @Nervana (currently referred as Intel AI Lab)
Study state-of-the-art models in generative deep neural networks, implement and try to reproduce the results and propose extensions to it. Specifically I focussed on autoregressive generative models and implement them on NGraph.

Data ScienceGenerative Models

Indiana university bloomington

Graduate Research And Teaching Assistant

Aug 2014 – Mar 2020 · 5 yrs 7 mos · Bloomington, Indiana, United States

My research and Teaching Assistantship history during the time frame
Deep Learning Systems (Spring 2019)
Machine Learning in Signal Processing (Fall 2018)
Deep Learning Systems (Spring 2018)
Research Assistant @SAIGE (Fall 2017)
Research Assistant @SAIGE (Spring 2017)
Distributed Systems (Fall 2016)
Reinforcement Learning (Spring 2016)
Algorithms (Fall 2015)
Big Data Analytics (Spring 2015)
Distributed Systems (Fall 2014)
All courses I have served as a Teaching Assistant are Graduate Level courses. Primary responsibilities varies with the courses. But generally the role involves grading, taking lab sessions or doubt clearing sessions.
Since 2016, I have been a member of SAIGE group supervised by Prof. Minje Kim. We specialize applying Machine Learning models to solve audio/signal processing problems. My focus and also my research interests involve resource constraint deep learning models utilizing quantization, more specifically binarized neural networks.

TeachingResearch

Citrix

Software Development Engineer 2

Jul 2011 – Jul 2014 · 3 yrs · Bangalore

Member of Cloud Networking & Platform Group and working with core development team delivering content delivery platform and load balancer, Netscaler.
Few of my contributions are:
Traffic classification and profiling (AppQoE feature released by Netscaler 10.0). One of two contributors in the team. Working with product architecture to deliver the feature in our product release
Application and transport layer packet processing which is core objective of our 8-people strong team. Primary contribution is designing the data structure that helps faster prioritized packet processing depending of traffic tiers
Helped deliver cluster configuration management for Netscaler. This is cross-team collaboration within Netscaler Platform team.

Cloud NetworkingSoftware Development