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AI enthusiast | Software Developer
* The past three years I have been working as a cloud application architect for a major bank in Europe for it's wealth management section. My role included architecture and development of low-cost and efficient server-less cloud applications (primarily focused on AWS) for it's wealth customers. The transition from a developer to a hand-on architect contributed a lot to my understanding of an industrial applications from requirement gathering to production support. These years also helped me to achieve pretty good knowledge and understanding in the wealth and asset management domain. * After working almost two years in Artificial Intelligence practice, I could develop a good foundation, both theoretical and practical (especially industrial problems) experience in Machine Learning, Natural Language Processing (text classification, dialog and conversational systems) and Knowledge Representation (mainly Graph). * Programming Languages :Python,C#,Java * Very well versed with Linux/Unix environment * Pretty good hands-on experience with major cloud platforms - Amazon AWS, Microsoft Azure * Hands-on Experience :- # Python (nltk,scikit-learn,gensim,numpy and pandas) # Java (apache hadoop, apache spark, apache mahout) * Cloudera Certified Hadoop Developer
Federal Institute Of Science And Technology (FISAT), Angamaly
Engineer’s Degree, Electronics and Communications Engineering
January 1, 2010 – January 1, 2014
Microsoft
Senior Software Engineer
March 1, 2024 – Present
Oslo, Norway
Microsoft
Software Engineer II
April 1, 2021 – March 1, 2024
Oslo, Norway
DNB
Senior Information Technology Engineer
October 1, 2020 – April 1, 2021
Oslo, Norway · On-site
Tata Consultancy Services
Cloud Architect
July 1, 2017 – October 1, 2020
Tata Consultancy Services
Cloud Architect
July 1, 2017 – July 1, 2017
Tata Consultancy Services
Data Science Practitioner, Artificial Intelligence Practice
March 1, 2015 – July 1, 2017
iLock
January 1, 2015 – August 1, 2015
iLock is an app developed to control a smart locker with the help of android device. This app is capable of communicating with the locker via WiFi/Bluetooth and thereby lock or unlock the system. The main motivation of this app is for the integration of android device with IoT.
Source Seperation using Independent Component Analysis
January 1, 2014 – Present
This project aims to study to how extend we can seperate a mixture of signals derived from several sources into its original form.
AAKASH TABLET ANDROID App Development
March 1, 2013 – June 1, 2014
Developed android applications compatible with the aakash Tablet an initiative of the Govt. of INDIA through the IIT-B.
Multicore processor with expansive I/O
January 1, 2013 – Present
Undergraduate mini project. Multicore processor with expansive I/O is a project that aims to model the working of a multicore processor using verilog on an FPGA board.
Smart Grid
January 1, 2013 – Present
An innovative solution for prepaid power transmission with feedback and fault tolerant system support.”Smart Grid” ensures smart and efficient use of energy by real time monitoring of power consumed by each consumer and evaluates their energy usage and thereby controlling each and every customer from a central station.
Quad-Rotor
July 1, 2012 – Present
Worked on the Quad-Rotor which has always come up as a challenge for people working in the field of Robotics. PID controllers were designed for the controlling of the rotor speeds based on the tilt angle measurements from various sensors. The output was not as expected as the board used(arduino) could not come up to the calculations used in our algorithm..
Million Lines Of Code For the Society
January 1, 2012 – Present
This project was released by Richard Matthew Stallman!!! FISAT decided to give away a million lines of code to the society as support for the Free Software movement. All the projects completed in FISAT were passed under the GPL and made available to the society. The tasks involved were executing all the project codes,checking for errors,contacting owners,listing dependencies,documenting requirements,making read me files, and finally coding for fun to increase the number of lines. This project is a continuous process and will continue even after I pass out of the institution!!
Machine Learning Specialization
DeepLearning.AI, Stanford University
June 24, 2026 – Present
Machine Learning: Classification
Coursera Course Certificates
June 24, 2026 – Present
Cloudera Certified Developer for Apache Hadoop (CCDH)
Cloudera
June 24, 2026 – Present
Advanced Learning Algorithms
DeepLearning.AI
June 24, 2026 – Present
Supervised Machine Learning: Regression and Classification
DeepLearning.AI
June 24, 2026 – Present
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
MapR Certified Spark Developer
MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019
June 24, 2026 – Present
Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)
Coursera Course Certificates
June 24, 2026 – Present
Unsupervised Learning, Recommenders, Reinforcement Learning
DeepLearning.AI, Stanford University
June 24, 2026 – Present
Circuits and Electronics 6.002x
edX
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera Course Certificates
June 24, 2026 – Present
Computational Investing, Part I
Coursera
June 24, 2026 – Present
Machine Learning: Regression
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project history shows a diverse range of interests from open-source contributions to robotics and IoT, indicating a curious and engaged individual. The career progression through various roles in data science and cloud architecture suggests adaptability and a willingness to learn new domains. The certifications in Machine Learning, Big Data, and Cloud computing align well with a data-driven culture. However, the lack of detailed project descriptions makes it hard to gauge specific contributions or team dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions, while enthusiastic, lack professional detail and specific outcomes, making it difficult to assess soft skills like collaboration or problem-solving beyond a general interest in technology. The psychometric test score is not provided, so operational fit cannot be fully assessed.