Open to Opportunities

Sai
Srichandra Ravuri

Building intelligent systems that think, learn, and scale.

2+
Years Exp.
9+
Projects
Published
Researcher
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About Me

The person behind the code

SR

Sai Srichandra Ravuri

ML Engineer × Software Engineer

United States

CuriousCreativeReliableInnovative

I'm an ML Engineer with deep software engineering strength — passionate about building end-to-end intelligent systems that solve real problems at scale.

I've worked across fintech, climate tech, and academic research, shipping ML pipelines, full-stack applications, and published research. I led a team at Delta Rising to build a carbon estimation ML pipeline using remote sensing data.

I'm currently targeting roles in tech and robotics in the United States, where I can combine my ML depth with strong engineering fundamentals to build products that matter.

When I'm not training models or writing code, you'll find me stargazing or tracking F1 lap times.

Experience

My professional journey

ML Engineer — Team Lead

Delta Rising

2024 – Present

United States

  • Led a cross-functional team to build a carbon estimation ML pipeline leveraging remote sensing and satellite imagery data.
  • Engineered feature extraction pipelines processing multi-spectral geospatial data for environmental modeling.
  • Achieved 92% accuracy on carbon stock estimation, enabling data-driven climate action decisions.
PythonPyTorchGeoSpatialRemote SensingAWS

Software Engineer

FinTech Startup

2023 – 2024

Remote

  • Built and deployed full-stack financial analytics platform serving 10K+ monthly active users.
  • Designed RESTful APIs and microservices handling real-time transaction processing with 99.9% uptime.
  • Implemented ML-based fraud detection system reducing false positives by 35%.
ReactNode.jsPythonPostgreSQLDockerAWS

Research Assistant — ML

Research Lab

2023

University

  • Published peer-reviewed research on novel deep learning architectures for medical imaging.
  • Developed custom neural network achieving state-of-the-art performance on benchmark datasets.
  • Collaborated with domain experts to translate clinical requirements into ML solutions.
PyTorchTensorFlowOpenCVscikit-learnCUDA

Full-Stack Developer Intern

Tech Company

2022 – 2023

On-site

  • Developed responsive web applications using React and Next.js with TypeScript.
  • Integrated backend services with MongoDB and Flask, improving data retrieval speeds by 40%.
  • Implemented CI/CD pipelines and automated testing, reducing deployment time by 60%.
ReactNext.jsFlaskMongoDBDockerGit

The Lab

Selected projects and experiments

01
ml
92%Accuracy

Carbon Estimation Pipeline

ML pipeline using remote sensing data for carbon stock estimation with satellite imagery processing.

PythonPyTorchGeoSpatialAWSDocker
02
ml
97%F1 Score

Neural Document Classifier

Transformer-based document classification system processing 50K+ documents with multi-label taxonomy.

PyTorchHuggingFaceFastAPIReactPostgreSQL
03
ml
<100msLatency

Real-Time Fraud Detection

Stream-processing ML system for transaction fraud detection with sub-100ms inference latency.

PythonKafkascikit-learnRedisDocker
04
fullstack
10K+Users

Financial Analytics Platform

Full-stack analytics dashboard for financial data visualization with real-time market feeds.

ReactNode.jsD3.jsPostgreSQLAWS
05
research
99%Dice Score

Medical Image Segmentation

Novel U-Net architecture for brain MRI segmentation achieving SOTA with minimal parameters.

PyTorchOpenCVMONAIFlaskDocker
06
ml
3xFaster Planning

Autonomous Drone Navigation

Reinforcement learning system for autonomous drone path planning in complex environments.

PythonROSPyTorchOpenAI GymC++
07
data
28%CTR Increase

E-Commerce Recommender

Collaborative filtering + content-based hybrid recommendation engine for product discovery.

PythonTensorFlowFastAPIRedisMongoDB
08
fullstack
99.9%Uptime

DevOps Monitoring Dashboard

Infrastructure monitoring platform with anomaly detection and automated alerting.

ReactGoPrometheusGrafanaK8s
09
research
500+GitHub Stars

NLP Research Toolkit

Open-source toolkit for transformer fine-tuning with custom tokenizers and evaluation metrics.

PythonPyTorchHuggingFaceWeights & Biases

Tech Arsenal

Click a folder to open its file

Languages
PythonPython
TypeScriptTypeScript
JavaScriptJavaScript
C++C++
JavaJava
SQLSQL
GoGo
ML / AI / Data
Frontend
Backend
Databases
DevOps / Cloud

Education

Hover knowledge map · compact neural source nodes with live portfolio signal readouts

phase_02.specializationhigh-order reasoning layer

Master of Science in Computer Science

University Name · 2024 – 2026

Training objective: Advanced the portfolio from strong engineering fundamentals into a research-shaped ML system focused on perception, intelligence, and production-ready model design.

Machine LearningArtificial IntelligenceComputer Vision

training stats

score

0.97

epochs

4

gpa

3.9 / 4.0

active outputs

research fluencyproduction ML judgmentvisual intelligence systems

hover knowledge map

Hover a node to see which part of the portfolio this degree helped unlock.

live readoutCore Domains

deep_learning

domain

Turned theory-heavy ML study into the backbone for building neural architectures, evaluation loops, and model iteration discipline.

signal clusters

Core DomainsUnlocked CapabilitiesActivated WorkPublished Signals
phase_01.foundationfoundation architecture layer

Bachelor of Technology in Computer Science

University Name · 2020 – 2024

Training objective: Built the core architecture that made everything later possible: algorithmic thinking, software craftsmanship, systems design, and the habit of engineering with rigor.

Software EngineeringData StructuresAlgorithms

training stats

score

0.95

epochs

8

gpa

3.8 / 4.0

active outputs

systems thinkingfull-stack confidenceengineering discipline

hover knowledge map

Hover a node to see which part of the portfolio this degree helped unlock.

live readoutCore Domains

software_engineering

domain

Established the habit of structuring code, systems, and teams with maintainability in mind rather than just solving the immediate problem.

signal clusters

Core DomainsUnlocked CapabilitiesActivated WorkPublished Signals

Milestones

Publications, awards, and certifications

Publication2024

Novel Deep Learning Architecture for Medical Image Segmentation

IEEE Conference

Proposed a parameter-efficient U-Net variant achieving state-of-the-art accuracy on brain MRI segmentation benchmarks.

99%Accuracy
View
Publication2024

Transformer-Based Approach to Environmental Data Analysis

Springer Journal

Applied transformer architectures for multi-spectral satellite data analysis in environmental monitoring.

2xSpeed Improvement
View
Award2024

Hackathon Champion — Climate Tech Challenge

National Hackathon

Built a carbon estimation system using remote sensing data. Won 1st place among 200+ teams.

1stPlace
Award2023

Best ML Project Award

University Research Symposium

Recognized for outstanding contribution in applying deep learning to real-world medical imaging challenges.

Top 5University-Wide
Certification2024

AWS Certified Machine Learning — Specialty

Amazon Web Services

Professional certification validating expertise in building, training, and deploying ML models on AWS.

View
Certification2023

Deep Learning Specialization

Coursera — deeplearning.ai

Five-course specialization covering CNNs, RNNs, transformers, and ML engineering best practices.

View
Publication2023

Hybrid CNN-RNN for Sentiment Analysis

Springer Conference

Combined convolutional and recurrent architectures for robust Twitter sentiment classification.

View

Let's Connect

Interested in working together?

I'm always open to discussing new opportunities, interesting projects, or collaborations. Drop me a message and I'll get back to you as soon as possible.

© 2026 Sai Srichandra Ravuri. Designed with precision.