---
title: "Harshit Saini - ML Analyst in Delhi | Tal"
description: "Meet Harshit Saini, ML | NLP | Data Science | PyTorch | HuggingFace | Ensemble Techniques | Scikit-learn | Optuna | IIT Madras | Open to Intern & Full-Time based in Delhi. AI stack includes cursor and opencode."
image: "https://tal.club/meet/harshit-saini/share-image"
---

# Harshit Saini on Tal

## Headline

ML \| NLP \| Data Science \| PyTorch \| HuggingFace \| Ensemble Techniques \| Scikit\-learn \| Optuna \| IIT Madras \| Open to Intern & Full\-Time

## About

ML and Data Science engineer with hands\-on experience building end\-to\-end intelligent systems — from exploratory data analysis and feature engineering to deep learning architectures and model optimization on real\-world datasets\. Most recently fine\-tuned RoBERTa for fake job detection, combining text embeddings, numerical features, and categorical embeddings into a multi\-modal classification system — with Focal Loss, layer\-wise learning rates, gradient clipping, and threshold optimization\. Other projects include credit card fraud detection comparing Logistic Regression, Random Forest, and XGBoost \(PR\-AUC 0\.77, Recall 0\.82 across 284K transactions\) and asteroid hazard classification using Optuna Bayesian search on NASA/JPL data\. Comfortable across the full ML workflow — data cleaning, EDA, feature engineering, imbalanced data handling, model development, hyperparameter tuning, and performance evaluation using Precision, Recall, F1, ROC\-AUC, and PR\-AUC\. Stack: Python · PyTorch · HuggingFace · Scikit\-learn · XGBoost · Optuna · Pandas · NumPy · SQL IIT Madras · Open to ML / Data Science / AI internships and junior roles · India / Remote

## Location

Delhi

## AI stack

cursor

opencode

## Work experience

ML Analyst at Self\-Employed, Mar 2026 \- Present · 6 mos, Building end\-to\-end machine learning solutions across domains including NLP, fraud detection, and classification\. Key work includes: \-Fine\-tuned RoBERTa\-base transformer for fake job detection using multi\-modal fusion combining text embeddings, numerical, and categorical features \-Built deep learning fraud detection system on highly imbalanced financial transaction data using Focal Loss and class\-aware optimization \-Developed asteroid hazard classifier using NASA/JPL data with Bayesian hyperparameter search via Optuna Proficient in PyTorch, HuggingFace Transformers, Scikit\-learn, Optuna, Pandas, and NumPy

## Education

12 pass, Information Technology, Central Board of Secondary Education

programming and data science, Information Technology, Indian Institute of Technology, Madras

[View the original profile](https://tal.club/meet/harshit-saini)

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