I’m a Computer Science Engineer with a passion for Machine Learning, Artificial Intelligence, and Web Development. I enjoy talking to Large Language Models and have a knack for getting them to accomplish tasks according to user requirements. Beyond coding, I actively volunteer with youth organizations focused on environmental health and sustainable development, blending my technical skills with a commitment to making a positive impact on the world.
I am currently pursuing my Master of Applied Science (MASc) in Quality Systems Engineering at Concordia University, building on my Bachelor's in Computer Science and Engineering. My thesis is in the field of LLMs, building a memory module to enhance long-term context in chatbots. My interests span emerging technologies such as Artificial Intelligence. Machine Learning, Natural Language Processing, Web Development, Cloud Computing, and Mixed Reality.
I have hands-on experience as a Researcher, Data Science Engineer and Software Developer, complemented by my roles and interests in content writing and social media marketing.
Contributed to a prestigious Canadian government-funded project focused on digitizing and archiving literary sound recordings, collaborating with 13+ universities and over 50 researchers across Canada. Led data ingestion into Apache Solr using Ruby, developing advanced faceting features that significantly enhanced search capabilities, resulting in a 20% improvement in search speed and accuracy for over 10,000 scholars. ...
Ensured the stability of the FreeNAS file server
Implemented hardening measures for applications, databases, and network devices per CIS baselines
Administered Google Workspace accounts and supported issues related to workspace.
Developed recommendation systems and machine learning pipelines.
Spearheaded developing, testing, designing and deploying a conversational AI interface working with OpenAI's GPT-3.5 for seamless product catalogue access.
Collaborated across teams, addressing challenges in natural language processing and Large Language Models, optimizing model performance using Python, SQL, and Azure DevOps
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Developed an Image Search system improving precision and user experience using Python and ML framework TensorFlow
Deployed machine learning models for face recognition, image and video processing, Elastic search, object detection, and Optical Character Recognition (OCR) on Google Cloud, achieving a 20% improvement in accuracy.
Created ETL pipelines with SQL and PySpark for data management and integration
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Implemented changes to the Frontend of the Web App using HTML5, CSS3, Bootstrap and JavaScript.
Constructed Machine Learning solution for a Designation based recommender system (social media website) using Python and libraries like Django, scikit-learn, NumPy and pandas.
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Curated content for the Organization's Social Media handles (Instagram, LinkedIn, Facebook) on various social issues, injustices and awareness.
Worked with the Content and Graphics team on driving Social Media engagement and increasing traffic.
Developed an innovative memory module to enhance the performance of LLM agents to enable them to retain and utilize context across interactions, significantly improving the response accuracy and user experience. Led extensive research, development, Prompt Engineering, and testing to ensure optimal functionality and integration with existing frameworks.
Engaged as a member of a selected cohort tackling an AI in Education Innovation Challenge with industry collaborator Pragmatics Studio. Led the development and design of an NLP evaluation system for studentreflections, aiming to provide assessment methods and personalized feedback for academic advancement.
Developed image processing, and data visualization pipelines for the Remote sensing datasets from Google Earth Engine
Lead a team of 5 and proposed a solution on a socio-economic problem statement "Quality Education in rural/remote Areas" at Barclay's Tech Innovation Challenge 2019.
Developed with a team of 4, a Command line Application in CPP using file handling as a mini-project for sophmore year in college.
Developed with a team of 4 a Web Application with a machine learning backend using Gaussian Naive Bayes Algorithm that predicts the job description for a candidate based on their data of past experience and field of study as a mini-project for junior year in college.
Presented review paper at a competition conducted by Computer Society India, Kolhapur Institute of Technology chapter on the topic Quantum Computing in Human Digital Immortality: Review and Prospect
Repaired electronics and computers, applying principles of conductivity and thermodynamics; Sorted reusable and recyclable components, promoting on-campus electronic reuse and sustainability.
Delivered nutritious meals to elderly individuals and those with reduced mobility, addressing food security needs. Fostered intergenerational connections between youth and seniors, building a stronger, more inclusive community. Collaborated with fellow volunteers to maintain a compassionate, supportive environment while ensuring timely meal distribution.
Managed on-campus placement drives for 200+ students, coordinating events and pre-placement talks. Provided technical support for the Calyxpod Portal and led the Training and Placement Cell at DYPCET, Kolhapur. Served as emcee for multiple events, engaging over 1,000 attendees. Collaborated with placement and training coordinators to organize placement drives and training activities during the 2019-20 academic year. Organized monthly "Leader's Talk" events, bringing insights to 200+ students through the Campus Ambassadors team.
Appointed as the first GDSC Lead through a highly selective process, with only 300 leaders chosen across India by Google. Spearheaded 30+ technical workshops, boot camps, and Google-sponsored programs, attracting 500+ participants globally. Fostered a collaborative environment for open-source contributions and established the GDSClub as a campus hub for innovative "tech for good" projects. Mentored members in exploring and pursuing domains like Cloud, Web & App Development, Artificial Intelligence, and Machine Learning.
Collected and distributed surplus food to underserved communities, reducing food wastage and combating hunger. Coordinated food drives and outreach efforts, delivering meals to orphanages, shelters, and individuals in need. Engaged local communities and raised awareness about hunger issues, fostering social impact.
Provided free education (English, Maths, and Science) and mentoring to underprivileged children, focusing on foundational literacy and numeracy skills. Assisted in organizing educational workshops and activities to promote holistic child development. Collaborated with local communities to create sustainable learning environments, empowering students through consistent academic support and learning while having fun.
