In Company: Potentiam Ltd
Timeline: Nov 2024 - Present
Tech Stacks: LLMs | GPTs | MemGPT | LangChain, LangGraph | Full Stack- React, Flask, RESTful APIs, MongoDB | Python
Working on the Development an AI Search tool that allows for both navigation around the internally developed application and have detailed conversation with the user to provide with the most accurate results for their queries.
In Company: Potentiam Ltd
Timeline: Sept 2024 - Present
Tech Stacks: LLMs | GPTs | Full Stack- React, Flask, RESTful APIs, MongoDB | Python
Developed an All-in-One Intelligence framework with a high-quality UI that leveraged various Open Source LLMs. This application was built specifically for the Talent Acquisition and HR departments of the company. It included various features such as Resume reviewer (When provided with a Job Spec and applied Resumes, the model performs an analysis and provides with a detailed result), General Chatbot (To provide safe use of an LLM without using any third-party APIs), Job Spec and Skills Matrix Generator (Conversational bot to provide with data based on the template it was pre-trained and instructed on, along with downloadable word documents of the results).
In Company: Potentiam Ltd
Timeline: Jan 2024 - Sept 2024
Tech Stacks: LLMs | SLMs (Small Language Models) | GPTs | Conversational AI | Open Souce Tooling | Full Stack- Flask, RESTful API, MongoDB | Python
Spearheaded the development of an intelligent chatbot in the form of a widget whose accurate performance was due to the Small Language Model (SLM) that was completely trained in-house with internal data. The Chatbot was developed using Rasa and Flask with integrated Speech-to-Text (STT) and file download features, significantly enhancing the work efficiency of our internal team as this reduced navigation time, data retrieval, and exportation processes to under a minute. Even improved the Intelligence of the chatbot by incorporating Conversational AI after successfully migrating the entire project from Rasa Open Source to Rasa Pro CALM.
In Company: Potentiam Ltd
Timeline: Jun 2024 - Jul 2024
Tech Stacks: Python | Flask | Graph Visualisation: Graphviz Python library | Data Scrapping: Beautiful Soup, ChromeDriver
Developed a platform which could generate an Organisation hierarchy chat and visualise it in less than 15 seconds when provided with an Excel data which was also generated using an in-house developed Automated Web Scrapping tool. This improved the efficiency of the Sales & Marketing reach out teams massively thereby becoming their most used tool till date. Both the apps are continuously been updated and improved to handle all the latest packages and is in-tune with websecurity compliance.
In Company: Wipro Ltd
Timeline: May 2023 - June 2023
Tech Stacks: LangChain | Streamlit | ChatGPT API
Fine-tuned LLMs using LangChain and implemented a simple Q&A system over documents, optimizing its accuracy, and created an interface using Streamlit. This work enabled users to have interactive and informative conversations while effortlessly extracting valuable insights from large volumes of textual data.
In Company: Potentiam Ltd
Timeline: Sept 2024 - Nov 2024 (8 weeks)
Skills and Techs: Python | Libraries- Tensorflow, Keras, OpenCV | Computer Vision | Project Management | Mentorship | Communication | Technical Assistance
Mentored a pre-final year AI/ML Student intern on a Live Video based Face Mask Detector project. The system leveraged OpenCV for video stream processing along with TensorFlow and Keras libraries for mask detection, based on Haar Cascade Classifier which was trained in-house using the raw data provided.
In Company: Potentiam Ltd
Timeline: Dec 2023 - Present
Skills and Techs: Project Management | Team Communication | Stakeholder requirments | Data processing | Full Stack: Angular, RESTful APIs, MySQL
Led the coordination between management and development teams for two different web applications tailored for internal staff as well as the clients. Oversaw client requirement gathering, workflow design, data management, and testing phases.
In Company: Potentiam Ltd
Timeline: Nov 2023 - Jan 2024
Skills and Techs: Cybersecurity Assessment | Vulnerability Identification | Antivirus Management | Operating System Security | Network Configuration Analysis | User and Registry Management | Techs: Qualys, Windows Firewall, Windows OS Tools including lusrmgr (Local Users and Groups) and Registry Editor
As part of a comprehensive cybersecurity audit within my organization, I actively participated in evaluating IT operations and assessing the effectiveness of cybersecurity measures. My responsibilities included conducting thorough checks on firewall configurations, antivirus software, and internal operating system settings. Utilizing tools such as Qualys, I identified vulnerabilities and implemented resolutions to enhance the security posture of the organization.
Additionally, I performed in-depth analyses of network settings and utilized Windows Local User and Group Management (lusrmgr) alongside the Registry Editor to ensure compliance with security policies and best practices.
In Company: Potentiam Ltd
Timeline: Oct 2023 - Dec 2023
Skills and Techs: PowerBI | Data Preprocessing | Data Analysis
Developed Dashboards using PowerBI which provided an in-depth and smart overview of data for the Finance, Sales and Marketing teams respectively.