Bachelor of Software Engineering

Responsibility:
Designing, optimization and development of SPA(Student-Project Allocation) Problem algorithm.
System re-engineering of legacy system.

Algorithm Engineer

Main Responsibilities: 
Using dialogflow API to create conversational agents.
Creating recommendation system for a conversational chatbot.
Attending a 3 hours per week course on speech recognition theory.

Machine Learning Intern

Professional Portfolio Highlights:

Chatbots | Agents | Data Report Generation | LLM | Langchain | FAISS | Cohere | Vectorstores | OpenAI | Huggingface

-  Developed a chatbot that answers user questions by sourcing information from 7 different sources, including live feeds, historical documents, web documents, and website databases.
-  Created a report generation module that takes Excel or CSV files as input and generates comprehensive reports, including titles, questions, answers, summaries, and abstracts.

Technical Consultant

Services: 
Sentiments analysis and recommendation systems | Designing and optimization of algorithms (image processing and other real world problems) | Chatbot development | Data science and analysis | NLP (Natural Language Processing) and NLG (Natural Language Generation)

Delivered various end-to-end ML-based products:

-  Recommendation systems for courses, content, movies, series, materials, location-based content, and real estate, medical treatments, hotels and activities etc .
-  ML/DL models, including sentiment analysis, abusive language detection, SQL query-to-text generation, information extraction from text (e.g., city and place names), QA chatbots for websites, image captioning models, and COVID-19 research document clustering.
-  Developed a stock buying and selling bot, a rating system for Instagram profiles, and a student project professor allocation system considering student and professor preferences.

Software Developer

Main Responsibilities: 
Implementation of robust set of services and APIs to power the application.
Building reusable code and libraries for future use.
Optimization of application for speed and scalability.
Translation of UI/UX wireframes to visual elements.
Integration of front-end and back-end aspects of the web application.
Data migration, transformation and scripting.

Full-stack Developer

Main Responsibility:
Working on an industrial project 'in-car navigation system' for TPL Trakker Ltd. In this context, development of an Urdu+English language speech recognition system with CMU Sphinx software, and sequitur grapheme-to-phoneme tool. This involved with speech and text data as well as machine learning concepts.

Research Assistant

Professional Portfolio Highlights:

Credit scoring using alternative data | Data and trend analysis | Text context extraction | Topic modeling | Question-Answering system | Text similarity and classification | Information extraction | Narratives generation of financial data | Natural language to query formation | Roman Urdu Sentiment Analysis | Machine Translation and Transliteration | Facial Liveness | Facial Similarity | Neural style transfer

- Developed an entrepreneurial assistant chatbot designed to guide and support entrepreneurs in idea
generation and business activities. The chatbot features include interactive questioning, user profile creation, in-session and across-session memory retention and KG. LLM exp: Geminis,GPTs, Mistral,Llama etc. Vectorstores: FAISS, Chroma, Vertex AI Vector search.
- Worked on data-driven analytics for a brand merchant, identifying high-demand menu items to optimize
offerings and implementing competitive pricing strategies by analyzing market tren

Machine Learning Engineer

Project Description:
Make website similar to typatone with extra features and changes.
Typatone: https://www.typatone.com/

AI Engineer

Know about Ashar Mehmood's work experience, education, bootcamps, certifications, and much more. Ashar Mehmood