+ Hi, I'm Satish Balakrishnan
+A
+ +Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.
+About
+I am a Cloud Solutions Architectfocusing on Cloud infrastructure and Application Innovation for 'Strategic customers', spanning multi-country and multi-year commited deals.
+My role involves helping our customers in their end-to-end digital transformation by engaging with senior stakeholders at every step of their journey, from piloting initial solutions to supporting them and guiding their evolution to the ever-changing business needs.
+To help mitigate customers' challenges, I conduct architectural design sessions, Cloud Adoption Frameworks and Well-Architected Framework workshops.
+I routinely speak at customer or partner events and have won the Microsoft event speaker silver award.
+I have experience working for the healthcare domain and FSI domain, along with leading a team for a fast-paced startup right from its inception to its acquisition within four years.
+I love helping, I mentor on Mentorcruise and I am rated as one of their top mentors.
+ + ++
-
+
- Languages: Python, Java, JavaScript, C, C++, HTML/CSS, Bash +
- Databases: MySQL, PostgreSQL, MongoDB +
- Libraries: NumPy, Pandas, OpenCV +
- Frameworks: Flask, Django, Node.js, Keras, TensorFlow, PyTorch, Bootstrap, Apache Beam +
- Tools & Technologies: Git, Docker, AWS, GCP, Heroku, JIRA +
Experience
+
+ + Zhiffy +
+-
+
- + Developed and managed the backend of an e-commerce platform using Flask, MongoDB, and AWS. + +
- + Worked on three web applications targeting customers, selling vendors, and admin users; built 50+ RESTful APIs with functionalities +such as login/sign up, view a product, add a product to cart, checkout the order, etc. + +
- Improved the response time by 20% by refactoring the codebase and changing database design and queries. +
- Added a bulk upload feature which reduced the manual work of adding products into a database. +
- + Tools: Python, Flask, MongoDB + +
+ + Meditab +
+-
+
- + Customized a tree-based optimization algorithm that separates drugs into distinct groups to maximize the concurrent execution of drug +dispenser robots; improved an optimization algorithm that reduced the cycle-time of the automation process by 25%. + +
- + Devised a customized recursion algorithm to extend the functionality of the current environment to a multi-robot and multi-system +environment + +
- + Built a modular video analytics app using Flask, OpenCV that tracks the location of each human in a multi-camera environment; +utilized perspective transformation, object detection, and object tracking to find the location of a human. + +
- Increased the speed of the video analytics app by 20% by using a customized YOLOv3 algorithm to perform object detection and + DeepSORT algorithm for multi-object tracking. +
- + Tools: Python, Flask, OpenCV, Keras, Tensorflow, PyTorch + +
+
+ -
+
- + Programmed a cloud-based web app using Flask and JavaScript aimed at storing, visualizing, and tracking temperature and humidity +of each drug container to estimate the degradation of the drug. + +
- + Created an alert system to send notifications and emails when the parameters exceed the threshold. + +
- + Tools: Python, Flask, JavaScript + +
+ -
+
- + Designed a library management system for a local library, where we undertook activities like requirement + elicitation, preparing Data Flow + and Entity-Relationship diagrams. + +
- + Delivered a solution for a POC involving Automatic Financial Document Classifier using Natural Language + Processing and Support Vector + Machines with 96% accuracy on the company’s data. + +
- + Tools: Python, Scikit-learn, NLTK + +
Projects
+
+ + A music streaming web app based on Django +
+-
+
- Tools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku +
- Register/login to the web app(with OAuth-based Google Sign-In). +
- Search and filter songs based on language and singer. +
- Create multiple playlists and add/remove songs to/from playlist. +
- Scroll through recently played/viewed songs. + + +
+ 
+ 
+ + An attention-based classification model that aims at generating an answer for a given input image. +
+-
+
- Incorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term + Memory for extracting question + embeddings. +
- Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the + VQA evaluation metric. + +
+ + A Seq2Seq model that generates a short summary of the given input video. +
+-
+
- Incorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for + generating a summary. +
- Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71, + 0.52 scores respectively on ROGUE, + BLEU, METEOR evaluation metrics. + +
+ + An image generator based on the concept of adversarial networks (GANs) +
+
+ + A system that calculates the attendance of the class from a panoramic image of a live classroom. +
+Skills
+Languages and Databases
+
Python
+ 
HTML5
+ 
CSS3
+ 
MySQL
+ 
PostgreSQL
+ 
Shell Scripting
+ Libraries
+
NumPy
+ 
Pandas
+ 
OpenCV
+ 
scikit-learn
+ 
matplotlib
+ Frameworks
+
Django
+ 
Flask
+ 
Bootstrap
+ 
Keras
+ 
TensorFlow
+ 
PyTorch
+ Other
+
Git
+ 
AWS
+ 
Heroku
+ Education
++ School of Biotechnology and Bioinformatics - D Y Patil University +
+Navi Mumbai, India
++ Degree: Master of Technology in Bioinformatics +
++ Vivekanand Education Society +
+Mumbai, India
+
+ Degree: Bachelor of Science in Biotechnology
+
+
Contact
++ +6586198081 +
+ + + +
