Porush Yadav ☕️
Porush Yadav

Hi! I am Porush Yadav. I have graduated from IIT Kanpur with a BS-MS Dual Degree in Mathematics and Scientific Computing. I have Worked at Axis Bank on an image recognition system that leverages neural networks to automate document classification and enhance data extraction. Before that, I interned at Samsung R&D Institute India, eJET systems, and EZ Technologies, where I worked on machine learning applications in signal data compression, recommendation systems, classification systems, and image recognition.

I look forward to leveraging AI and ML expertise to develop impactful solutions that can solve real-life problems.

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🔬 Interests
  • AI/ML Engineering
  • Data Science
  • Machine Learning & Deep Learning
  • Natural Language Processing
  • Quantitative Finance
  • Statistical Modelling & Simulation

Experience

Image Recognition — Machine Learning

Axis Bank Limited

  • Managed an image-recognition system using neural networks to automate document classification and data extraction.
  • Evaluated system performance on diverse bank documents to identify and troubleshoot technical anomalies.
  • Collaborated with cross-functional teams to enhance data extraction processes, improving operational efficiency.
Convolutional Neural Networks Image Recognition

Intern

Samsung R&D Institute India

  • Conducted in-depth studies on various IQ data compression techniques to minimise EVM values in uplink and downlink.
  • Explored advanced methods including LPC-based fronthaul compression, vector quantization, bit vector compression, IQ bit width reduction, linear prediction coding, and block floating point compression.
  • Evaluated compression techniques using mathematical models and the input data properties of IQ data to ensure optimal performance.
Signal Processing Data Compression Vector Quantization

Machine Learning Intern

eJET Systems

  • Built a food entity recognition model to identify food items in a sentence, along with quantity, attribute, and toppings using NLTK.
  • Built a food recommendation model using word embeddings, and devised an algorithm to recommend food with respect to multiple food items.
  • Built a classifier model to classify user input into pre-defined intents using GRU layers and word embeddings in Keras.
Natural Language Processing Recommender Systems Classification

Intern

EZ Technologies

  • Developed a face recognition model using OpenCV and Python to streamline classroom attendance.
  • Implemented a pre-trained deep neural network for detecting multiple student faces in real time.
  • Created 128-dimensional face embeddings with a Siamese network to enhance model accuracy.
  • Used MongoDB for efficient record management, including attendance tracking and data manipulation.
OpenCV Deep Neural Networks MongoDB

Education

MS in Mathematics and Scientific Computing

Indian Institute of Technology Kanpur

CPI: 9.8/10. Part of the BS-MS dual degree programme. MS project on European option pricing under the Black-Scholes framework.

BS in Mathematics and Scientific Computing

Indian Institute of Technology Kanpur

CPI: 7.8/10.

Class XII, CBSE

Central Board of Secondary Education

86.6%

Class X, CBSE

Central Board of Secondary Education

CGPA: 9.8/10

Projects

Consumer Complaint Analytics

An NLP pipeline over the 8+ GB CFPB Consumer Complaint Database that classifies complaints and separates templated filing volume from genuine consumer harm.

Code

Optimization Algorithm

Orthogonal projection of a point onto a parametric curve and function approximation from discrete data, using Newton’s method and Chebyshev interpolation.

Skills
Machine Learning & AI
Supervised & Unsupervised Learning
Deep Neural Networks
Convolutional Neural Networks
Natural Language Processing
Recommender Systems
Model Explainability (SHAP)
Quantitative & Statistical
Quantitative Finance
Option Pricing & Derivatives
Time Series & Stochastic Processes
Bayesian Inference & MCMC
Anomaly Detection
Signal Processing & Data Compression
Tools & Technologies
Python
R
MATLAB
Keras / TensorFlow / Scikit-learn
OpenCV
MongoDB
Certifications
AI Code Review
DeepLearning.AI ∙ August 2026

Credential ID d3ba62f8-85ad-46ed-b825-802ff4ad96ee

AI Agents · Retrieval-Augmented Generation (RAG) · Software Development

Machine Learning Specialization
DeepLearning.AI ∙ August 2026

Credential ID 431bfef3-6465-4923-9e90-841c64b35522

Reinforcement Learning · Deep Neural Networks · Unsupervised Learning · Supervised Learning

Software Processes and Agile Practices
Coursera ∙ September 2021
Credential ID ABELYZ54LNE4
Applying Machine Learning to your Data with GCP
Coursera ∙ September 2021
Credential ID XUBXVHX6QRXJ
Smart Analytics, Machine Learning, and AI on GCP
Coursera ∙ September 2021
Credential ID 8ML67QDYKZ5J
🎓 Relevant Coursework

Computer Science — Machine Learning, Computational Cognitive Science, Data Structures and Algorithms

Statistics — Time Series Analysis, Stochastic Processes, Probability Theory, Statistical Inference, Statistical Simulation and Data Analysis, Sampling Theory

Mathematics — Computational Financial Mathematics, ANN/ML Approach for Differential Equations, Linear Algebra, Real Analysis, Several Variable Calculus, Differential Geometry, Numerical Analysis

🏅 Achievements & Scholarships
  • Received the National Talent Search Examination (NTSE) Scholarship from the Government of India
  • Received the INSPIRE Scholarship for Higher Education (SHE) from the Government of India

Contact

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I'm always open to discussing new projects, opportunities, or just having a chat.

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