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SOFTWARE DEVELOPER
(ML Engineer)
I have been working for over 1 year at DRDO as a Machine Learning Engineer, specializing in analyzing cryptographic algorithms to uncover strengths and vulnerabilities using ML approaches. I am a professional in ML and deep learning, with experience working on large language models (LLMs). My expert debugging skills further enhance my ability to tackle complex challenges in the field. #ML #DeepLearning #CryptoAnalysis #Cybersecurity #LLM.
I extract insights by applying multiple ML models, using tools like Scikit-learn, NumPy, Pandas, Matplotlib, and Keras. This hands-on experience with ML concepts has helped me tackle various challenges, leading to better data-driven outcomes. #ML #DataScience #Keras #DataAnalysis.
I finished my B.Tech in Computer Science. I've studied lots of programming languages, computer network programming, and taken part in coding contests and challenges. It's been a journey of learning and overcoming obstacles, fueling my love for problem-solving and tech innovation.
Real-time Face Recognition web app uses Django, Python, Flann, PCA, and OpenCV for seamless webcam-based image uploading and recognition.
GitHub repository showcases Face Recognition web app built with Python, Flann, PCA, and OpenCV for efficient webcam-based recognition.
Achieved 80% accuracy in sentiment classification using a custom BERT-based model for movie reviews.
Delivered high-quality Hinglish to English translation, with a BLEU score of 77.8, ensuring precise language conversion.
Implemented effective text summarization, maintaining meaning and context in condensed forms of text.
Developed a website to provide real-time stock signals for optimal buying and selling opportunities.
Implemented features to highlight the top 50 stocks to buy and sell, based on comprehensive analysis.
Integrated graphical representations of stock analysis, marking buy and sell points for user-friendly insights.
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