SRUTHY K BHASKARAN

Software Engineer

Thrissur, Kerala, India8 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Full-stack developer with 7+ years of experience.
Expertise in machine learning and deep learning applications.
Passionate about mentoring and training new tech talent.

Stackforce AI infers this person is a Full-Stack Developer with expertise in AI/ML applications in Fintech and SaaS.

Contact

sruthyb@qburst.com LinkedIn

Skills

Core Skills

Node.jsReact.jsMachine LearningDeep LearningAngularFirebaseNatural Language Processing

Other Skills

APIsAWS Artificial Intelligence PractitionerAgile MethodologiesAmazon Web Services (AWS)Angular 5 and 6Angular MaterialAnsibleAutoencodersBi-LSTMCNNCSSConvolutional Neural Networks (CNN)DockerDropbox APIFacebook Login

About

I am a full-stack developer with over seven years of experience, specializing in both backend and frontend technologies. My technical skills include Node.js, React, Angular, Golang and Python. Additionally, I have a strong background in machine learning and deep learning, enabling me to develop intelligent, data-driven applications. I hold an M.Tech degree in Computational Linguistics, focusing on natural language processing and advanced techniques in machine learning (ML) and deep learning (DL). I have exposure to tools such as TensorFlow and Keras, which equip me to work on projects in these areas as well. At QBurst, I have consistently delivered projects by utilizing my expertise to achieve successful outcomes across various domains. My passion for continuous learning and research keeps me updated on technological advancements. In addition, I actively contribute to training and mentoring new talent, helping to cultivate the next generation of tech professionals.

Experience

8 yrs 4 mos

Total Experience

2 yrs 9 mos

Average Tenure

6 yrs 5 mos

Current Experience

Qburst

3 roles

Lead Engineer

Jul 2024 – Present · 1 yr 11 mos

Senior Engineer

Promoted

Jul 2022 – Jul 2024 · 2 yrs

Engineer

Jan 2020 – Jul 2022 · 2 yrs 6 mos

Worked on Node.JS-based client projects and actively contributed to
training freshers for different technologies.
Applied both machine learning and deep learning models in Stock
prediction.
Worked with Keras and Sklearn libraries for time series forecasting.
Worked on Node.js and React.js applications as part of training.

Node.jsReact.jsKerasSklearnMachine LearningDeep Learning

Uvj technologies pvt.ltd - india

Associate Software Engineer

Jul 2018 – Jan 2020 · 1 yr 6 mos · Kochi, Kerala, India

Familiarised with the Angular concepts like components, models, routing, component-component interaction methods, services, etc
Multi-project and multi-environment handling(handling of different configuration files)
Knows single module, multi-module, and shared module programming in Angular
Designed HTML templates with CSS and Angular Material Components
Facilitated Facebook and Google login using Firebase authentication.
Used Google, Dropbox and Box APIs
Familiarised with Razorpay payment gateway and Geolocation API service
Explored Angular HTTP client module for facilitating API calls

AngularFirebaseCSSHTMLAPIs

Calpine labs

Data Science Intern

Jan 2018 – Jun 2018 · 5 mos · Cochin Area, India

> Designed and developed a question processing system: QuePe
> Extracted useful information from natural language questions like:
entities along with the types -sequence tagging
intent- Classification
domain or subject -Classification
answer type - Classification
> Prepared the dataset from Quora's question collection
> Adopted Named Entity Recognition(NER) techniques for sequence tagging:
Conditional Random Fields
Customised the Stanford's NER (core NLP)
Bi-Directional LSTM
> Adopted deep learning models for classification: CNN and Bi-LSTM
> Built and trained the models with the enriched pretrained GloVe vectors
> Compared the results with the results of Facebook's FastText for text classification
> Used the Counter fit method for the feature enrichment in Classification (enrichment with the synonymous and antonymous vectors of each word in the vocabulary)