Vedanth Prasanna Bharadwaj

Backend & Cloud Engineer | Data & ML Engineer

I build scalable backend systems, AWS serverless architectures, data pipelines, dashboards, and machine learning solutions. My work combines cloud engineering, SQL optimization, data observability, and applied ML.

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About Me

I am a backend, cloud, and data-focused engineer with a Master of Science in Data Science, Analytics & Engineering from Arizona State University. I currently work on production-grade AWS serverless systems at MindSpark, with hands-on experience across AWS Lambda, API Gateway, Step Functions, Aurora PostgreSQL, RDS Data API, AppConfig, SQL optimization, Power BI, and machine learning pipelines.

~95%

Lambda Latency Reduction

Reduced cold-start latency from 25–30 seconds to 150–200 milliseconds through AppConfig caching and SQL optimization.

75%

DB Round-Trips Reduced

Improved backend efficiency by redesigning database workflows using metadata-driven SQL generation.

41M+

Records Processed

Built a serverless data pipeline for NYC taxi mobility analytics and observability.

97.8%

LSTM Forecast Accuracy

Developed an energy consumption forecasting model with strong time-series performance.

Professional Experience

AWS Cloud Developer Intern — MindSpark

Mesa, AZ | February 2026 – Present

  • Build and optimize serverless backend systems using AWS Lambda, API Gateway, Step Functions, S3, Aurora PostgreSQL, AppConfig, and RDS Data API.
  • Diagnosed and fixed a SaveProject API cold-start bottleneck, reducing latency from 25–30 seconds to 150–200 milliseconds.
  • Re-engineered a legacy UPSERT backend into a metadata-driven INSERT / UPDATE / DELETE SQL engine across 21 tables.
  • Improved query execution time by 60% and reduced database round trips by 75% while preserving transactional integrity.
  • Designed staged Lambda alias deployment workflows across staging, dev, and production environments.

Software Engineer Trainee — Cognizant

Bengaluru, India | November 2022 – July 2023

  • Completed an intensive enterprise Java Full Stack training program covering Spring Boot, Angular, REST APIs, SQL, microservices, and AWS architecture.
  • Maintained a 95% average score across 20+ technical assessments in SQL, object-oriented programming, design patterns, and cloud fundamentals.
  • Delivered capstone projects simulating healthcare systems, including relational schema design, API contracts, and integration testing.

Featured Projects

Selected projects across cloud engineering, data pipelines, distributed processing, machine learning, computer vision, and business intelligence.

Urban Mobility Data Pipeline

Built an end-to-end AWS serverless Data Observability-as-a-Service platform processing 41M+ NYC taxi records with weather enrichment, validation, feature engineering, and monitoring.

  • XGBoost ETA prediction achieved R² = 0.905.
  • Demand forecasting achieved R² = 0.91.
  • Power BI dashboards tracked 12+ KPIs across 265 zones.
AWS Lambda Step Functions XGBoost Power BI

Energy Consumption Forecasting

Built a time-series forecasting pipeline on 1M+ hourly energy records with weather integration and model comparison across classical ML and deep learning methods.

  • LSTM achieved 97.8% accuracy.
  • Identified peak usage windows 35% above baseline.
  • Recommendations projected 12% operational cost reduction.
LSTM PyTorch TensorFlow Tableau

Human Emotion Recognition System

Developed a real-time multimodal emotion recognition system combining facial image classification and audio emotion detection.

  • Fine-tuned VGG16 transfer learning model with 86.32% accuracy.
  • Built Bi-LSTM audio emotion detection using MFCC, ZCR, and RMSE features.
  • Integrated OpenCV live video and microphone-based audio inference.
VGG16 CNN Bi-LSTM OpenCV

Indian Sign Language Recognition

Published real-time Indian Sign Language interpreter using hand landmark extraction, sequence modeling, and gesture-to-text translation.

  • Achieved 97% accuracy on a 7-class gesture recognition task.
  • Built end-to-end OpenCV, MediaPipe, and LSTM pipeline.
  • Published in IJRTI, Volume 7, Issue 6, 2022.
OpenCV MediaPipe LSTM TensorFlow

Yelp User Behavior Analysis

Performed distributed user behavior analysis on Yelp data filtered to Home Services businesses in Arizona using Apache Spark and Spark SQL.

  • Executed 10 Spark SQL queries across reviews, users, and tips.
  • Analyzed sentiment, engagement, compliments, and elite user influence.
  • Created visual insights using Python and Matplotlib.
Apache Spark Spark SQL Python Parquet

Technical Skills

Languages

Python, Java, SQL, R, JavaScript, C++

Cloud & Infrastructure

AWS Lambda, API Gateway, S3, Aurora PostgreSQL, DynamoDB, CloudWatch, EventBridge, Step Functions, AppConfig, SQS, SNS

Backend Engineering

REST APIs, Microservices, Spring Boot, RDS Data API, PostgreSQL, MySQL, Git, Serverless Architecture

Data & BI

Power BI, Tableau, ETL Pipelines, Data Observability, Schema Validation, Anomaly Detection, Spark SQL, Parquet

Machine Learning & AI

XGBoost, LSTM, CNN, Bi-LSTM, VGG16, Random Forest, Gradient Boosting, Time-Series Forecasting, Feature Engineering

Libraries & Tools

Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, MediaPipe, Matplotlib

Education & Certifications

Arizona State University — Tempe, AZ

Master of Science, Data Science, Analytics & Engineering | GPA: 3.9 / 4.0

Coursework: Data Processing at Scale, Statistical Machine Learning, Foundations of Software Engineering, Data Mining, Distributed Database Systems.

B.N.M. Institute of Technology, VTU — Bengaluru, India

Bachelor of Engineering, Information Science & Engineering | GPA: 8.36 / 10

Google Data Analytics Professional Certificate

SQL, Tableau, R, Data Cleaning — Google / Coursera

Microsoft Data Analysis and Visualization with Power BI

Power BI, data modeling, reporting, and visualization — Microsoft / Coursera

Work Authorization

Authorized to work in the United States on F-1 OPT through February 2027. STEM OPT eligible for a 24-month extension, providing approximately three years of total work authorization. H-1B sponsorship will be required thereafter.

Contact

I am open to full-time opportunities in backend engineering, cloud engineering, data engineering, business intelligence, and analytics-focused roles.

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