An AI-powered Q&A bot that creates a knowledge base for sales professionals just by uploading reference materials such as PDFs and URLs to the system. It extracts information from the PDFs and URLs and fetches data from it based on the input query from the user thereby reducing TAT for customer-facing professionals.
The system operates by concurrently processing live video inputs through face and object recognition modules.
Upon detection of anomaly events, an interrupt is generated to promptly alert the nearest police depot. Interaction
with the system is facilitated through a built-in chatbot, providing the administrator with a responsive interface for
managing and addressing detected anomalies in real time
The AI-powered policy management engine utilizes the Code Llamma LLM to interpret user intent expressed in plain English, eliminating the need for IOSXE CLI commands. Trained on a dataset of IOSXE commands, the model employs advanced language processing techniques to generate corresponding commands for suggested network policy changes. This innovative system enhances user accessibility by allowing for intuitive, language-based input, streamlining the policy adjustment process.
An intelligent surveillance system that can monitor activities and track miscreants at each location without human intervention. This project has been recognized by the Government of India via the SIH hackathon.The system operates by concurrently processing live video inputs through face and object recognition modules. Upon detection of anomaly events, an interrupt is generated to promptly alert the nearest police depot. Interaction with the system is facilitated through a built-in chatbot, providing the administrator with a responsive interface for managing and addressing detected anomalies in real time.
A quick and hassle-free development tool for developers which consist of quick project setup, source control, auto
debugging. This project has been patented under the ID 201941053665, issued on 03/01/2020.
Developed new features for Cisco’s configuration translation and configuration migration engine using ReactJS, and Django which resulted in a 30% increase in the adoption of Cisco products
Engaged in client interactions to design, deploy, and troubleshoot networks, while demonstrating expertise in
configuring and managing network appliances such as Cisco switches, routers, firewalls, and cloud security
solutions.
Automated network deployments for global clients using frameworks such as Terraform & Ansible which reduced
network deployment times by 90%
Obtained certifications such as CCNA, CCNP R&S, CCNP SCOR, DevNet, Meraki ECMS & AWS CSA.
Developed an analytics dashboard using React, ChartJS, and Django, while creating ETL pipelines from various
ITSM systems like Salesforce and ServiceNow through Snowflake
Developed an ML-powered capacity planning service using boosting algorithms such as XGBoost to benchmark 25+
project and team KPIs. This service was later integrated into the dashboard.
Deployed the entire project on Azure cloud and gained expertise in Azure services such as Blob storage, AKS
cluster, and Azure VMs, etc.
Conducted a research project on image captioning for surveillance applications, employing Xception CNN and
LSTM networks trained on the Flickr8K dataset.
Implemented and fine-tuned image augmentation methods, including RotNet and rotation-invariant CNN, to
significantly enhance model accuracy, specifically tailored for CCTV applications
This research has been published as ”Captioning for motion detection for video surveillance
applications using deep learning” (IJITEE)
Developed a customer-centric chatbot using RASA, featuring intricate dialog routes for distinct functions (e.g.,
recruitment, sales). Achieved a 40% reduction in contact center interactions through the deployment of an
intelligent chatbot assistant.
Developed a Django API service for the chatbot to interact with the PHP backend for data collection and storage.
Engineered a smart attendance system leveraging facial encodings for recognition and attendance marking.
Deployed it locally on a Raspberry Pi.
Python
Java
C++
C
Matlab
HTML
CSS
JS
JQuery
Angular
React
PHP
Django
MongoDB
MySQL
SQLite
Arduino
Raspberry Pi
OpenGL
Windows
Ubuntu
Kali Linux
AWS
Terraform
Docker
Kubernetes
Git
Jira
GNS3
Ansible
Heroku
Projects
Experience
Technical Skills
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