About Me
Machine Learning Engineer with 6 years of dedicated AI/ML and Data Science expertise, backed by 9 years of overall software engineering experience. I leverage a strong foundation in Supervised, Unsupervised Learning, Deep Learning, Natural Language Processing, and MLOps to develop innovative AI solutions. Complementing this, I am proficient in cloud architecture (AWS Lambda, CDK, Docker) and robust backend development (Python, FastAPI, DynamoDB) to build and deploy scalable, production-ready AI/ML systems.
My key achievements include boosting e-commerce profits by 15% through AI/ML systems for sales forecasting and inventory optimization, alongside reducing bounce rate by 70% with deep learning text summarization. I have also significantly impacted operations by accelerating recruitment by 60% and reducing recruiter workload by 50% using cutting-edge Generative AI applications (Langchain, LLMs) for CV evaluation and interview automation, all while ensuring scalability and cost-effectiveness through proficiency in serverless microservices on AWS (CDK, Lambda, DynamoDB, API Gateway).
I am passionate about applying my combined expertise in ML and Data Science to drive impactful, scalable solutions and bridge the gap between software engineering and AI-driven innovation. If you're seeking a versatile engineer with a strong product mindset and a passion for machine learning, let's connect!
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Name
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Intro
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Blogs
Aspect Based Sentiment Analysis
May 20, 2025 • 29 min read
Sales Forecasting
Jan 31, 2025 • 36 min read
Automated Trading System
Dec 29, 2023 • 7 min readProjects
Gen AI QnA Bot with Memory
This app allows users to upload multiple PDF documents and interactively ask questions, receiving answers along with relevant source citations and also remembering the context of the conversation.
Sales Forecasting
This project involves building a machine learning model to predict sales for a retail company based on historical data.
Automated Trading System
This system scans daily market data to generate trade signals, automatically places orders, and saves trade data to a database.
Timeline
- Any development and data related task
- Architected and delivered an end-to-end agentic AI application (LangGraph) that can analyse multiple therapy session notes, generate scores for mental health assessments and visualise progress over time.
- Designed and implemented a full-stack Gen AI solution using Lagchain that accelerated recruitment by 60% through automated CV evaluation.
- Led the development and deployment of an LLM-based interview conducting bot using Langchain to rate candidate answers, which lessened the workload of the recruiting team by 50%.
- Drove a 15% increase in company profit by architecting and deploying scalable AI/ML systems for sales forecasting and inventory optimisation, spearheading the company's transition to a data-driven operational model.
- Significantly boosted cross-category sales and reduced bounce rate by 70% through the development of AI-powered product recommender systems and a deep learning text summarisation model (PyTorch) for enhanced product descriptions.
- Engineered cost-effective, scalable serverless microservices on AWS (CDK, Lambda, DynamoDB, API Gateway) to support critical business operations and data analytics.
- Enhanced business intelligence and operational insights by developing robust sales analytics dashboards with optimised SQL queries.
- Mentored and scaled the engineering team, recruiting, training, and supervising 7 developers to improve overall team efficiency significantly.
- Partnered with the UX team to resolve critical user experience issues (e.g., cart abandonment, signup drop-offs) using Google Analytics data, increasing sales and user engagement.
- Designed and launched websites for small and medium-sized businesses, using technologies such as Angular Material, HTML, CSS, Bootstrap UI, and JavaScript, which resulted in increased sales and reach.
- Handled UI/UX design for mobile and web apps using Adobe Creative Cloud and other wireframing tools.
- Designed banners, infographics, magazines and other promotional materials for the company using a variety of design tools like Photoshop, Indesign, Illustrator which resulted in increased awareness about the company on social media.
- Studied various programming languages.
- Made a game as final year project using Unity 3D engine.
- Participated in various hackathons.
- Studied science, maths and some languages.
- Participated in various quiz competitions.
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