📍 Ready for Relocation (Bengaluru to Hyderabad)

SAI SAHITHYA VARSHINI KODURU

Software Engineer - AI & Full-Stack Engineer • IEEE-Published Researcher

AI Software Developer (Medical Imaging) building an AI platform for hip replacement surgery planning for a partner hospital — YOLO landmark detection on 138 hip/spine X-rays, NumPy geometric algorithms, Flask REST API + clinician UI. Experienced in computer vision pipelines and scalable web applications.

Email Me +91 9063621502 LinkedIn
Core Expertise Badges
🤖 AI 👁️ Computer Vision 🧠 Machine Learning 🩺 Medical Imaging AI 📷 YOLO Object Detection 💻 Full-Stack Development 🌐 React.js 🐍 Python ⚙️ Flask 🔗 REST APIs 🤖 LLMs ✨ Generative AI 📐 System Design (HLD & LLD)
⚡ Impact Snapshot Highlights
138
Annotated Hip & Spine X-rays
YOLO Spinopelvic Engine – HRS Partner Hospital
2
IEEE & ICEC Research Papers
ICCCNT 2025 (IIT Indore) & ICEC 2024
7
Featured Core Projects
Medical Imaging AI, AI Systems & Full-Stack
CCBP 4.0
NxtWave Academy Scholar
Intensive Industry Software Engineering
🎓 Amrita Vishwa Vidyapeetham • B.Tech CSE (AI)
About Me

Bridging Deep Learning Research & Production Software Engineering

A holistic view of my academic journey, software engineering discipline, and research achievements.

I am a Software Engineer & AI Researcher currently completing my B.Tech in Computer Science & Engineering (Artificial Intelligence) at Amrita Vishwa Vidyapeetham, Bengaluru. Concurrent with my degree, I have undertaken intensive industry-level software engineering training through NxtWave CCBP 4.0 Academy, mastering full-stack web architectures, object-oriented design, low-level & high-level system design (LLD/HLD), data structures, and production deployment workflows.

My technical philosophy centers on converting mathematical rigor and AI research into intuitive, scalable software products. My published research spans sleep stage prediction engines (IEEE ICCCNT 2025 at IIT Indore achieving 99.8% accuracy), Indic optical character recognition (OCR) with ConvNeXt & BiLSTM networks (ICEC 2024), and deep learning sequence encoders for early genomic ARPKD detection.

On the engineering front, I build robust full-stack applications with React.js, Python, Flask, Node.js, and SQL. Whether optimizing multi-million record queries using Apache Spark or developing real-time delivery agent routing platforms with OpenStreetMap & Leaflet.js under Agile Scrum sprints, I maintain a strong commitment to clean architecture, code quality, and responsive user experiences.

Location: Bengaluru / Hyderabad, India
Relocation: Open & Ready for Relocation
Contact: kssv.3065@gmail.com | +91 9063621502
Technical Stack

Core Competencies & Expertise Matrix

Categorized breakdown of programming languages, AI frameworks, full-stack tools, and software engineering methodologies.

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Languages

Python ⭐⭐⭐⭐⭐ Java JavaScript SQL
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AI & Machine Learning

Machine Learning Deep Learning Computer Vision ⭐⭐⭐⭐⭐ Medical Imaging AI Image Processing YOLO Object Detection CNN LLMs Generative AI Prompt Engineering
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Full-Stack Development

React.js Node.js Flask HTML5 CSS3 Bootstrap Redux REST APIs
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Software Engineering

Full-Stack Development Software Development OOP Data Structures & Algorithms High-Level Design (HLD) Low-Level Design (LLD) System Design Git
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Databases & Deployment

MySQL Caching Render Netlify
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Research & Data

Data Analysis Data Annotation Geometric Algorithms R&D
Featured Works

Projects & Research Portfolio

Interactive showcase of intelligent AI engines, big data pipelines, and full-stack software applications.

Partner Hospital – Ongoing 138 X-rays

Automated Spinopelvic Parameters for HRS – Hip Replacement Surgery

AI platform automating spinopelvic and hip angle measurement from radiographs, replacing manual landmark placement and trigonometric calculation by clinicians.

  • Trained YOLO landmark detection models on 138 annotated hip and spine X-rays.
  • Geometric algorithms in Python + NumPy for pelvic tilt and sacral slope; validation vs manual annotation in progress.
  • Flask REST API + clinician UI for upload, overlay visualization, and export.
YOLO Python NumPy OpenCV Flask Medical Imaging
IEEE ICCCNT 2025 (IIT Indore) 99.8% Acc

SomniPredict - Sleep Stage Prediction Engine

High-precision machine learning framework for automated sleep stage classification using EEG signal features. Features Random Forest and MLP ensemble architectures evaluated across standard bio-signal datasets.

  • Achieved 99.8% classification accuracy across NREM and REM sleep stages.
  • Built RESTful prediction API deployed on Render with interactive React frontend on Netlify.
  • Presented and accepted at IEEE ICCCNT 2025, IIT Indore.
Python Random Forest MLP Flask React.js Render Netlify
Real-Time Logistics AI Agile 3 Sprints

RapidRoute - AI-Driven Delivery Agent Monitoring

Real-time delivery agent classification and spatial monitoring web application using OpenStreetMap, Leaflet.js, and Flask APIs to categorize agent speeds (Fast, Moderate, Late).

  • Interactive geospatial rendering with OpenStreetMap and custom Leaflet markers.
  • Automated speed pattern analysis and dynamic delay alerts for fleet managers.
  • Engineered following Agile/Scrum methodology over 3 Jira sprints.
Flask Python Leaflet.js OpenStreetMap REST APIs Jira / Scrum
Big Data Architecture Millions of Records

NYC Taxi & Uber Big Data Spark Optimization

Distributed computing analysis and query optimization pipeline evaluating millions of NYC Taxi and Uber trip records using Apache Spark and PySpark.

  • Designed adaptive partitioning strategies and skew-aware load balancing.
  • Implemented intelligent in-memory caching reducing query response time significantly.
  • Extracted geospatial trip density insights and peak demand pricing correlations.
Apache Spark PySpark SQL Big Data Distributed Computing
Indic OCR Research 5,499 Images / 98 Classes

Hindi & Kannada Character Classification (DL)

Deep learning Optical Character Recognition system for Hindi and Kannada character recognition across 5,499 images in 98 classes using ConvNeXt backbone and sequence models.

  • Hybrid CRNN + BiLSTM network architecture with Connectionist Temporal Classification (CTC) decoding.
  • Multi-head attention mechanisms for complex Indic script character segmentation.
  • Demonstrated state-of-the-art accuracy across noisy document images.
Deep Learning ConvNeXt CRNN BiLSTM CTC Decoding Attention
Medical Bio-AI ~95% Acc

Early ARPKD Detection via Deep Learning

Genomic 1000-bp synthetic sequence mutation encoding framework for early detection of Autosomal Recessive Polycystic Kidney Disease (ARPKD).

  • Evaluated CNN+BiLSTM, GRU, and Transformer models on synthetic mutation sequences.
  • Achieved ~95% classification accuracy in detecting pathogenic genomic mutations.
  • Extracted automated sequence feature representations for early medical diagnosis.
CNN+BiLSTM GRU Transformer Genomics Python Bio-AI
Full-Stack Web App Interactive Engine

Diet Management Web Application

Comprehensive health and nutrition tracking web platform featuring dynamic BMI calculation, personalized calorie recommendation engine, and interactive assistant.

  • Responsive ReactJS dashboard with Node.js and SQL relational backend.
  • Built personalized macro-nutrient recommendation algorithms based on user targets.
  • Integrated interactive dietary assistant chatbot for real-time advice.
React.js Node.js SQL REST APIs CSS3 Chatbot
Education & Training

Academic Background & Specialized Academy

Rigorous degree education complemented by intensive industry software engineering mentorship.

B.Tech in Computer Science & Engineering (AI)
Amrita Vishwa Vidyapeetham, Bengaluru
June 2023 - Present

Specializing in Artificial Intelligence, Deep Learning, Computer Vision, Data Structures, High-Performance Computing, and Software Engineering principles.

FEATURED INTENSIVE PROGRAM Concurrent with B.Tech
NxtWave CCBP 4.0 Academy
Industry-Oriented Software Development Program

Comprehensive industry-led software engineering curriculum focused on full-stack development, production software design, data structures, and AI engineering:

Python Java JavaScript React.js Node.js Flask SQL / MySQL REST APIs DSA OOP HLD / LLD System Design Generative AI LLMs Prompt Engineering Git Render Netlify
Integrated M.S. in Computer Science
Woolf University (via NxtWave)
Concurrent Enrollment

Advanced European accredited Master's program focusing on distributed software systems, cloud infrastructure, and modern AI algorithms.

Research & Publications

Peer-Reviewed Conference Papers

Contributions to international IEEE research conferences in artificial intelligence and computer vision.

"SomniPredict: Machine Learning Framework for Sleep Stage Classification"
Conference: 16th IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2025) Venue: IIT Indore, India Authors: Sai Sahithya Varshini Koduru et al.

Introduces a multi-feature signal processing pipeline combined with Random Forest and Multi-Layer Perceptron (MLP) classifiers, achieving 99.8% classification accuracy on sleep bio-signals.

"Deep Learning Architectures for Indic Optical Character Recognition & Genomic Bio-Sequence Analysis"
Conference: International Conference on Electronics & Communication (ICEC 2024) Authors: Sai Sahithya Varshini Koduru et al.

Evaluates ConvNeXt, CRNN + BiLSTM, and CTC decoding mechanisms for Indic OCR character classification across 5,499 images, as well as genomic mutation sequence encoders.

Leadership & Activities

Team Leadership & Creative Pursuits

Demonstrated initiative in academic coordination, project leadership, and artistic excellence.

Research Team Lead & Project Coordinator
Amrita Vishwa Vidyapeetham

Led student research groups in dataset annotation, deep learning model evaluation, and drafting manuscript submissions for IEEE conferences.

Student Coordinator — Drug Design Workshop
November 2024

Organized and managed an international technical workshop on computer-aided drug discovery, molecular docking, and AI applications in computational biology.

Classical Carnatic Musician
Vocalist & Classical Music Performer

Accomplished Carnatic music vocalist, bringing dedication, discipline, creative harmony, and structural thinking to both art and software engineering.

Get In Touch

Let's Connect & Collaborate

Open to Full-Time Software Engineer, AI Engineer, and Full-Stack Developer opportunities. Ready for immediate relocation.

📍 Relocation Ready: Bengaluru to Hyderabad | Open to Full-Time Software Engineering Roles
📧
Email Address
kssv.3065@gmail.com
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Phone Number
+91 9063621502
📍
Location
Bengaluru / Hyderabad, India
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LinkedIn Profile
sai-sahithya-varshini-koduru