Open to internships and collaborations

Sarthak Srivastava

AI Engineer, Machine Learning and Automation Developer

I build intelligent products that combine machine learning, automation, and clean frontend engineering, taking ideas from raw data all the way to polished experiences.

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AI projects by Sarthak Srivastava

Sarthak Srivastava AI projects span NLP, computer vision, and intelligent automation with a focus on real deployment value and maintainable engineering.

Machine learning systems

Machine learning systems by Sarthak are built around strong validation, usable interfaces, and practical business outcomes, from fraud detection to genre classification.

Automation-focused product work

Automation tools built by Sarthak Srivastava reduce repetitive work, connect APIs and cloud infrastructure, and keep the user experience clear across the whole product.

About

Engineering at the intersection of data and product

Building practical AI systems

I enjoy turning messy requirements into reliable products that feel clean, fast, and useful.

Contact Me

How I work

I work across the full machine learning pipeline, from preprocessing and feature engineering to evaluation, automation, and delivery.

My goal is to build solutions that are understandable, validated, and useful in the real world, not just technically impressive in isolation.

Projects shipped

Certifications

Internship

Certifications and achievements

ECLearnix Hackathon 360 Degree, national-level participant
AI and ML 40-day summer training, VSICS Kanpur
Web development fundamentals 20-day training, VSICS
Microsoft Azure 20-day winter training, VSICS
Transformer models and BERT, Simplilearn
Data analytics with generative AI, Simplilearn
Machine learning internship, CodSoft
TCS iON Career Edge, interview and job readiness

Skills

A cohesive toolkit for data-driven product work

Languages, frameworks, and tools I use to build reliable machine learning systems and polished product experiences.

Programming

PythonCC++

Machine Learning

ClassificationLogistic RegressionModel EvaluationTF-IDFNLP

Data Analysis

Data CleaningEDAVisualizationExcelPower BI

Libraries

PandasNumPyScikit-learnMatplotlibSeaborn

Database and Cloud

MySQLDBMS FundamentalsAzure VMLinux

Tools

GitHubJupyterVS CodeMicrosoft Office

Currently Learning

Active

What I am sharpening right now

Current learning tracks focused on automation, APIs, and production-ready data flows.

Playwright and browser automation

In Progress

Automating web interactions, scraping dynamic content, and building end-to-end test workflows with Playwright.

Web scraping and data extraction

In Progress

Building scrapers for structured and unstructured data extraction from real-world websites.

REST API design and integration

In Progress

Setting up and consuming APIs, handling authentication, rate limits, and response parsing.

JSON handling and data pipelines

In Progress

Processing and validating complex payloads for downstream automation and machine learning workflows.

Projects

Case studies with measurable outcomes

Selected work that shows how I approach modeling, automation, deployment, and product polish.

View all on GitHub

AI spam detection project by Sarthak Srivastava

98% AccuracyPython

SMS Spam Detection

Trained a Logistic Regression classifier on TF-IDF features to distinguish spam from legitimate messages, achieving 98.2 percent accuracy and 99.1 percent precision.

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Nutrition tracking automation by Sarthak Srivastava

Live AppNext.js

Caloriv Nutrition Tracking

Designed and shipped a full-stack nutrition tracking app with BMR and TDEE estimation, calorie logging, and persistent SQLite storage deployed live on Azure.

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High RecallPandas

Credit Card Fraud Detection

Built a fraud classification pipeline with SMOTE-based imbalance handling, optimizing for recall to minimize missed fraud cases on a highly skewed dataset.

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Multi-classTF-IDF

Movie Genre Classification

Developed a multi-label NLP classifier using TF-IDF vectorization and MultiOutputClassifier to predict movie genres from plot synopses.

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Experience

Hands-on work with applied machine learning

Nov 2025 to Dec 2025, Remote

Machine Learning Intern

CodSoft

Completed ML classification assignments in Python covering data preprocessing, feature engineering, and model evaluation with end-to-end benchmarking.

PythonScikit-LearnPreprocessingClassificationModel Evaluation

Education

Academic foundation and ongoing learning

2024 to 2027

Bachelor of Computer Applications

Dr. Virendra Swarup Institute of Computer Studies, Kanpur

Recommendations

Professional feedback and trust signals

“Sarthak demonstrated a strong grasp of machine learning fundamentals during his internship. He approached classification problems methodically, from data preprocessing to model evaluation, and consistently delivered clean, well-documented code.”

CodSoft Internship

Machine Learning Intern, Nov to Dec 2025

Contact

Let's build something useful together

Open to internships, freelance projects, and collaborations. I usually respond within 24 hours.

ss8971132@gmail.com

Phone

+91 7985040858