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ML Engineer & AI Developer

Sadhan Vikram

Results-oriented ML Engineer with deep expertise in Predictive Analytics, NLP, Computer Vision and end-to-end AI deployment pipelines.

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Sadhan Vikram — ML Engineer

Sadhan Vikram

ML Engineer & AI Developer

Chennai, Tamil Nadu

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Professional Summary

Results-oriented Machine Learning Engineer with expertise in developing predictive analytics models, NLP, and computer vision applications. Proven ability to build end-to-end ML solutions using deep learning architectures (LSTMs, CNNs, RNNs) for complex tasks including image segmentation, time-series forecasting, and natural language processing. Strong foundation in cloud-based AI solutions and big data technologies.

3+ Years in Tech
10+ ML Models Built
20+ Certifications
2 Internships

Skills & Expertise

Machine Learning

Deep Learning NLP Computer Vision Predictive Modeling Time-Series Forecasting Supervised Learning Unsupervised Learning

Frameworks & Libraries

TensorFlow Scikit-learn Keras Pandas NumPy Matplotlib Seaborn

Programming

Python React Next.js JavaScript

Cloud & Big Data

Microsoft Azure AI Generative AI Big Data Analytics Tableau Git

Deep Learning Architectures

LSTMs CNNs RNNs Image Segmentation Image Captioning Feature Engineering Model Optimization

Tools & Platforms

Tableau Git Data Visualization ML Deployment Pipelines Model Lifecycle Mgmt

Proficiency Levels

Python / ML Engineering
92%
TensorFlow / Keras
88%
Computer Vision (CNNs)
85%
NLP & Sequence Models
82%
Data Visualization
87%
React / Next.js
75%

Professional Experience

Machine Learning Engineer Intern

ALGONIVE

June 2025 – Sep 2025
  • Built, trained and evaluated ML models using Python, TensorFlow and Scikit-learn for real-world predictive analytics applications.
  • Implemented data preprocessing pipelines and advanced feature engineering techniques to improve model performance and accuracy.
  • Collaborated with cross-functional teams to develop and optimize supervised and unsupervised learning algorithms for complex datasets.
  • Conducted model validation, hyperparameter tuning and performance optimization to achieve production-ready ML solutions.
  • Gained hands-on experience in end-to-end ML deployment pipelines and model lifecycle management.
PythonTensorFlowScikit-learnML Pipelines

Data Science Intern

Zidio Development

April 2025 – July 2025
  • Applied statistical analysis and ML techniques to extract actionable insights from large-scale real-world datasets.
  • Developed and optimized predictive models using Python (Pandas, NumPy) with focus on model accuracy and interpretability.
  • Created data visualizations using Matplotlib and Seaborn to communicate key trends and insights to stakeholders.
  • Engineered and optimized data pipelines for efficient data processing and model training workflows.
  • Implemented best practices in data cleaning, transformation and model evaluation.
PandasNumPyMatplotlibSeabornStatistical Analysis

Data Entry Specialist

Lax Administration, India

Dec 2023 – June 2025
  • Managed and processed large volumes of data with high accuracy and attention to detail.
  • Maintained data integrity and quality standards across multiple database systems.
Data ManagementDatabase SystemsQuality Assurance

AI Projects

AI-Mock Interview

AI-Powered Interview Platform

An intelligent mock interview platform powered by AI. Generates dynamic questions and evaluates answers.

PythonAIWeb Framework

HairStyle AI

Generative AI Application

An AI application leveraging generative models to visualize and recommend hairstyles.

PythonGenerative AIDeep Learning

Sign Language Platform

EdTech & Computer Vision

A platform utilizing computer vision to facilitate interactive sign language learning and recognition.

Computer VisionPythonWeb

Synthetic Customer Profiles

E-Commerce & Recommendations

Generated synthetic customer profiles to develop and test robust product recommendation algorithms.

Machine LearningData SynthesisPython

Market Basket Clustering

Data Mining & Analytics

Unsupervised learning application for clustering market basket data to identify purchasing patterns.

ClusteringUnsupervised LearningPython

Digit Image Clustering

Image Processing & K-Means

Clustered MNIST digit images using the K-Means algorithm to explore unsupervised image categorization.

K-MeansMNISTPython

Tech Giants Stock Analysis

Financial Market Analytics

Analyzed the stock price movements of major tech giants to identify trends and correlations.

Data AnalysisPandasFinance

Time-Series Stock Forecasting

Predictive Analytics

Time-series analysis and forecasting models to predict stock market trends and future prices.

Time-SeriesForecastingPython

Image Captioning

Multimodal Deep Learning

Deep learning model integrating computer vision and NLP to automatically generate descriptive captions for images.

CNNRNN/LSTMNLP

Image Segmentation

Advanced Computer Vision

Implemented image segmentation techniques to partition images into meaningful segments for detailed analysis.

Computer VisionSegmentationDeep Learning

Education & Training

BSc Computer Science

The American College

Computer Systems Networking & Telecommunications

June 2023 – June 2026

Applied AI & ML Essentials

IIT Patna

Indian Institute of Technology, Patna

Feb 2026 – July 2026

Full Stack Developer Program

NxtWave

Industry-grade full-stack web development

Feb 2024 – Feb 2027

Certifications & Credentials

16 verified certificates from industry-leading AI, ML & tech programs.

Let's Connect

Open to ML Engineering roles, research collaborations and AI consulting opportunities.

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