Hey.....


It's me

Suyash Pandey

And I'm a


Suyash Pandey — Software Engineer | AI & ML Enthusiast | Builder at Heart

I'm a Computer Science Engineer with a passion for designing scalable systems, intelligent algorithms, and elegant user experiences. Whether it's building full-stack applications with the MERN stack or crafting NLP-powered tools using Transformers, I thrive at the intersection of software engineering and machine learning. I bring a hacker's grit, a researcher’s mindset, and a builder’s heart. My work spans smart automation systems, chatbots, and end-to-end AI-driven applications — all crafted with clean architecture, thoughtful UX, and performance in mind.





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About Me

Machine Learning Engineer

As an ardent enthusiast of Machine Learning and Artificial Intelligence (AI), I am passionately committed to harnessing the power of cutting-edge technologies to tackle intricate challenges and propel innovation forward. With a robust foundation in ML and AI principles, combined with extensive hands-on experience in designing, developing, and deploying sophisticated algorithms, I am driven by a relentless pursuit of excellence. My goal is to contribute meaningfully to the transformative advancements in this dynamic field, continually pushing the boundaries of what is possible and inspiring others to join in this exciting journey.

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My Skills



Artificial Intelligence

I have a strong foundation in artificial intelligence, with expertise in machine learning, natural language processing, and neural networks. My skills include developing and optimizing AI models, implementing advanced algorithms, and leveraging AI for innovative solutions in various applications.

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Machine learning

I am proficient in Machine Learning, with expertise in designing and implementing algorithms for predictive modeling, data analysis, and natural language processing. I have experience with various ML frameworks such as TensorFlow, and Scikit-Learn, and excel in applying these technologies to solve complex real-world problems.

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Deep learning

I possess advanced skills in Deep Learning, specializing in neural network architectures, model optimization, and large-scale data processing. My expertise includes developing and deploying cutting-edge models for tasks such as image recognition, natural language processing, and predictive analytics.

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Data Science

I possess advanced skills in Deep Learning, specializing in neural network architectures, model optimization, and large-scale data processing. My expertise includes developing and deploying cutting-edge models for tasks such as image recognition, natural language processing, and predictive analytics.

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Web Development

I am proficient in web development, with a strong grasp of both front-end and back-end technologies. My expertise includes creating responsive, user-friendly websites using HTML, CSS, JavaScript, and modern frameworks like React and Node.js

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Latest Projects

Heart Disease Prediction

It is deep learning deployed model which takes several inputs related to heart and predicts whether person has heart disease or not.

Weather Sense

A model which takes various inputs such as precipitation, minimum maximum temperature, wind speed and predicts the kind of weather.

PCOS-Predictor

It takes several parameters as input and classifies whether a girl/woman has PCOS or not.

Spam SMS Predictor

It used to detect whether an sms/email is a spam or not. It takes the sms/email as an output and gives yes/no for spam or not spam.

Temperature Convertor

Takes temperature in celcius as input and converts it to fahrenheit.

Sentiment Analysis

Takes sequences of words as input and tries to detect the sentiment in the sentences whether it positive or negative.

Jessup Cellars Chatbot

This is a chatbot project developed for Jessup Cellars, a winery located in Napa Valley, California. The chatbot is designed to provide customers with information about the winery, its wines, and tasting room experiences.

Legal AI Assistant

Analyzes cases to produce detailed verdicts, citing precedents and suggesting outcomes and penalties. Built with Streamlit UI, it leverages custom datasets and semantic search for accurate case analysis.

Intention Decoder

This system decrypts encrypted text and analyzes the plain text to predict the sender's true intent. By integrating cryptography, NLP, and machine learning, it aids in cybersecurity, intelligence gathering, and customer service, where understanding intent is crucial.

Personal-AI Health Asistant

An hybrid AI diagnostic system integrating a Random Forest classifier for initial health condition prediction from symptoms. Leverages Google's Gemini-2.0-Flash model to validate predictions from random forest and generate accurate health insights with personalized lifestyle suggestions.

Work Experience



AI Training & Coding Expert

Outlier.AI

15th November 2024 - Present

Developing and optimizing AI/ML models, enhancing LLM response quality, and collaborating on seamless AI solution integration.

Data Scientist

Unified Mentor

15th May 2024 - 15th July 2024

This is a two month virtual internship where I am working as a Data Science intern, working on three deep learning projects.

Data Science Intern

Oasis Infobyte

15th Sep 2023 - 15th Oct 2023

This was a one month virtual internship where I had worked as a machine learning intern and had developed three deep learning models.

Python Developer

Octanet Services

1st Sep 2023 - 1st Oct 2023

A one month virtual internship where I had worked as python development intern and had built an Atm interface using tkinter library of python. It helped me in gaining knowledge about different python libraries..

Machine Learning Intern

Bharat Intern

1st Aug 2023 - 31st Aug 2023

This was a one month virtual internship where I had worked as a machine learning intern and had developed three deep learning models and it helped me in gaining knowledge and i had learnt a lot.

Machine Learning Intern

CodSoft

1st Aug 2023 - 31st Aug 2023

This was a one month virtual internship where I had worked as a machine learning intern and had developed three deep learning models and it helped me in gaining knowledge and i had learnt a lot.

📚Research Column



Cryptanalysis Alongwith Intention Decoding in the Encrypted Corpus of Text Using Attention Transformer Mechanism

Cryptanalysis has gained significant attention recently, focusing on deciphering hidden messages and intentions within large text corpora. Deep learning models, particularly those based on attention transformer mechanisms, offer a promising approach that has yet to be explored in research. Traditional cryptanalysis techniques are becoming obsolete due to their vulnerabilities, while deep learning provides a layered and more secure alternative. This attention mechanism not only decodes text but also reveals the author's intent behind encrypted messages. This paper introduces a novel method for this purpose, which could significantly impact cybersecurity, digital forensics, and natural language processing by effectively decoding sentiments and intentions in encrypted communications.

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