Hi There,
I'm Saravanan Chandrasekaran
i am into
About Me
I am a Lead Full Stack Developer with 8 years of diverse experience in the technology, banking, and retail industries.
Passionate about technology, I have successfully developed and deployed numerous object-oriented and web-based Enterprise applications using Python (Flask, Django), AI/ML, React, JavaScript, and Java Spring Boot, following Agile methodology. I have played a pivotal role as a dev lead for the Center of Excellence in Verizon, where I integrated Google's Contact Center Artificial Intelligence (CCAI) in Verizon customer and agent chatbots.
As a dedicated and experienced Full Stack Developer, I am continuously seeking new challenges. If you're looking for a versatile and results-driven professional to lead your development projects, please don't hesitate to reach me out at saravananc2023@gmail.com or via LinkedIn Messages.
email : saravananc2023@gmail.com
place : Windsor, Ontario, Canada - N9A 4Z5
Education is not the learning of facts, but the training of the mind to think.
Anna University
Activities and societies: - Captain of Android app development and Augmented Reality club.
- Successfully led the IT Department Symposium (Ametros 2K14).Activities and societies: - Captain of Android app development and Augmented Reality club. - Successfully led the IT Department Symposium (Ametros 2K14).
- Top 3 Graduates of Cohort.
- Received $2000 CAD from the Government of India (MSME) for Augmented Reality on Newspaper.
- Participated in the HCL HACKATHON conducted by Anna University and won a cash award of $350 CAD.
- MOBATHON: Conducted by Daimler Financial Service secured 4th spot out of 600 teams (National Level).
Masters of Applied Computing
Oct 2021 - present
Oct 2022 - Sept 2023: Full-time · 4 yrs 10 mos
Chennai, Tamil Nadu, India · Hybrid
Verizon COE team focuses on Innovation using emerging technologies. Worked on various innovation projects that used AI/ML, AR, and Digital Human. Primarily worked as a full stack developer to develop and deploy apps in AWS servers using Python Flask, React, Google Dialog flow, and NLP libraries.
- Digital Human: Developed an in-house human-like digital virtual assistant using Python wav2lip GFGAN and Google's Dialog Flow. This virtual assistant effectively interacted with customers, providing a seamless and personalized experience. Hosted this ML model in AWS GPU instance.
- Dynamic FAQ Generator: Leveraged ML models like Text2Question and T5 Base fine-tuned to create a FAQ generator for Verizon articles. This automated system efficiently generated dynamic FAQs, improving customer support and reducing response time.
Apr 2019 - Oct 2022: Full-time · 3 yrs 7 mos
Chennai, Tamil Nadu, India · Hybrid
Project: VIKI (Verizon Intellectual Knowledge interface)
- Team Lead and key developer for the agent-facing chatbots used by around 75000 Retail and Indirect stores (Walmart, Best buy stores, etc.)
- Focused on emerging technologies like Google’s Contact Center Artificial Intelligence (CCAI) and other custom ML models.
- One of my notable projects, the "Video assist using Blue jeans" gained viral attention and was widely appreciated by the tech community. Verizon earned $1 Million USD additional revenue due to this project.
- Grooming the Jira Stories with the Onshore Business and delivering the project in Agile.
- Release Management and task delegation to the team members.
- Implemented the click-to-chat and slack notification feature that brought huge value to retail agent assistance by saving the customer assisting time. Highly appreciated by the biz team.
- Top Functionalities: Curbside upsell, Gif dashboard, Notification Center, Video Assist, etc.
- Tools & Frameworks: Spacy, Scikit learn, ML Classifiers, Google Dialog flow, REST APIs, Python, PostgreSQL, Flask, React JS, FFMpeg.
Dec 2018 - Apr 2019 · 5 mos
Chennai, Tamil Nadu, India · Hybrid
Project: Enterprise Search
- Played a key role as a lead developer in Verizon's internal search engine designed using IBM Watson.
Primarily worked on React and Spring Boot for the web page functionalities.
- Implemented ML Model for custom named entity recognition using spacy lookup for Device and Accessory identification.
- Tools & Frameworks: React, Java Spring Boot.
Jun 2016 - Dec 2018 · 2 yrs 7 mos
