Akhil Sivakumar Nair

To work with maximum potential in a challenging and dynamic environment, with an opportunity of working with diverse group of people and to learn new skills and create relevant connections

1.  SCE (Southern California Edison) - Chatbot with Troubleshooting Docs

• Developed a chatbot integrated with troubleshooting documentation to assist users in resolving software-related issues.
• Utilized Azure Open AI, embedding, function apps, OCR cognitive service, and app service.
• Implemented step-by-step guidance with images to provide precise answers to user queries.
• If the issue couldn't be resolved, the chatbot raised a support ticket to the appropriate team.

2.  SCE (Southern California Edison) - Automated Scoring System

• Created an automated scoring system based on a provided scoring matrix for agent-customer calls.
• Utilized Azure Open AI, speech service for call transcription, and text completion models for scoring.
• Provided recommendations on how to improve agent performance based on the call scoring.

3.  Mitsubishi UFJ Financial Group (MUFG) - Global Chatbot Deployment

• Contributed to the large-scale deployment of a global chatbot for MUFG in Tokyo.
• Collaborated on scaling up the chatbot to accommodate 5000 users.
• Worked on coding aspects, including threading and asynchronous functionality, to enhance performance.

4. LiquorLand - Image detection and processing

• Created a object detection model using CNN, which was used to detect bottles with price from poster
• Process the detected image into csv files based on liquor bottle image and price based on uploaded images

5. People tracking, face detection and  Image correctness

• Created a people tracking model using transfer learning on Pre-build model, to detect people and make sure they are keeping distance of 7 meter during covid time
• using haarcascade and OpenCV, create Face-Detection and Face-Recognization model.
• Worked Encoder-Decoder model, image correctness also worked on noise removal on image

Project: TCS AI Experience (6 months)

• Worked on end-to-end development and deployment of an enterprise-level chatbot, "TCS AI Experience."
• Developed a global chatbot enabling users to upload documents and receive targeted answers from within the content.
• Collaborated with cross-functional teams to create lab sessions using Jupiter notebooks, providing hands-on training in chatbot development and AI applications.
• Managed networking infrastructure, including designing private endpoints and subnet architecture for secure communication.
• Configured custom domain names for seamless access to the chatbot within the TCS intranet, enhancing user experience and accessibility.

1.  SCE (Southern California Edison) - Chatbot with Troubleshooting Docs

• Developed a chatbot integrated with troubleshooting documentation to assist users in resolving software-related issues.
• Utilized Azure Open AI, embedding, function apps, OCR cognitive service, and app service.
• Implemented step-by-step guidance with images to provide precise answers to user queries.
• If the issue couldn't be resolved, the chatbot raised a support ticket to the appropriate team.

2.  SCE (Southern California Edison) - Automated Scoring System

• Created an automated scoring system based on a provided scoring matrix for agent-customer calls.
• Utilized Azure Open AI, speech service for call transcription, and text completion models for scoring.
• Provided recommendations on how to improve agent performance based on the call scoring.

3.  Mitsubishi UFJ Financial Group (MUFG) - Global Chatbot Deployment

• Contributed to the large-scale deployment of a global chatbot for MUFG in Tokyo.
• Collaborated on scaling up the chatbot to accommodate 5000 users.
• Worked on coding aspects, including threading and asynchronous functionality, to enhance performance.

4. LiquorLand - Image detection and processing

• Created a object detection model using CNN, which was used to detect bottles with price from poster
• Process the detected image into csv files based on liquor bottle image and price based on uploaded images

5. People tracking, face detection and  Image correctness

• Created a people tracking model using transfer learning on Pre-build model, to detect people and make sure they are keeping distance of 7 meter during covid time
• using haarcascade and OpenCV, create Face-Detection and Face-Recognization model.
• Worked Encoder-Decoder model, image correctness also worked on noise removal on image

Project: TCS AI Experience (6 months)

• Worked on end-to-end development and deployment of an enterprise-level chatbot, "TCS AI Experience."
• Developed a global chatbot enabling users to upload documents and receive targeted answers from within the content.
• Collaborated with cross-functional teams to create lab sessions using Jupiter notebooks, providing hands-on training in chatbot development and AI applications.
• Managed networking infrastructure, including designing private endpoints and subnet architecture for secure communication.
• Configured custom domain names for seamless access to the chatbot within the TCS intranet, enhancing user experience and accessibility.