Software Engineer Spring Boot

SATHWIK KRISHNA LANKE

Software Engineer

IL 779-***-**** *******.*******@*****.*** https://www.linkedin.com/in/sathwikkl/ https://github.com/LankeSathwik7 SUMMARY

Software Engineer with 4+ years of experience designing and scaling backend systems, cloud-native applications, and AI/ML pipelines. Skilled in developing FastAPI and Spring Boot microservices, building real-time Kafka data pipelines, and deploying predictive ML models that handle 50K+ ride events per second and support 10M+ records. Experienced in AWS, Kubernetes, and serverless architectures, optimizing CI/CD pipelines, and mentoring teams in ML integration. Delivered business-critical solutions including churn prediction, computer vision (DETR, Grounding DINO), NLP

(RoBERTa), and time-series forecasting (Prophet) with measurable impact on retention and operational efficiency. TECHNICAL SKILLS

Programming Languages: Python, Go (Golang), Java, JavaScript/TypeScript, C++, SQL, Shell Scripting (Bash)

Frameworks & Web Development: FastAPI, Flask, Spring Boot, Node.js, Express.js, React.js, Next.js, Angular, Streamlit

Databases & Data Management: PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, Supabase, Amazon RDS, Database Sharding, Query Optimization, Indexing

Cloud Platforms & Services: AWS (Lambda, EC2, ECS, S3, RDS, DynamoDB, API Gateway, CloudWatch, IAM, SQS, SNS), Google Cloud Platform (GCP), Microsoft Azure, Serverless Architectures

DevOps & CI/CD: Docker, Kubernetes, Jenkins, GitHub Actions, GitLab CI/CD, Terraform, Ansible, Version Control (Git), JIRA, Agile/Scrum

Messaging & Distributed Systems: Apache Kafka, Event-Driven Architecture, Microservices, RESTful APIs, GraphQL, ETL Pipelines, Real-Time Data Processing

AI/ML & Data Science: PyTorch, TensorFlow, Scikit-learn, Keras, Pandas, NumPy, Prophet, RoBERTa, SpaCy, NLTK, Computer Vision (DETR, Grounding DINO, YOLO), LLMs (GPT, Groq), Predictive Modeling, MLOps

Data Visualization & Analytics: Matplotlib, Seaborn, Plotly, Streamlit Dashboards, Folium, Tableau

Testing & Quality Assurance: PyTest, JUnit, Selenium, Postman, Unit Testing, Integration Testing, Test-Driven Development

(TDD), System Monitoring, Observability (Prometheus, Grafana)

Concepts & Methodologies: Object-Oriented Programming (OOP), System Design, Design Patterns, Distributed Systems, Data Structures & Algorithms, Software Development Life Cycle (SDLC) PROFESSIONAL EXPERIENCE

Software Engineer Uber Chicago, IL Jun 2025 – Present

Developed and productionized a Python + Scikit-learn churn prediction model, applying data-driven problem solving to reduce monthly rider attrition by 2,000 users and strengthen retention strategy.

Engineered cloud-native pipelines with FastAPI, Apache Kafka, and AWS Lambda, leveraging real-time collaboration with operations teams to process 50K+ ride events/sec and improve ETA accuracy across 3.2M trips annually.

Directed the integration of computer vision algorithms (DETR, Grounding DINO) into Uber’s traffic management workflows, aligning with product managers and city partners to cut hazard response times by 4+ days.

Architected microservice components and optimized CI/CD pipelines, while mentoring 3 engineers on data pipeline design and ML integration, cutting release cycles from 2 days to 6 hours and strengthening system reliability at scale. Northern Illinois University Graduate Assistant Chicago, IL Jan 2024 – May 2025

Guided 150+ students in C++ and distributed systems, improving coding proficiency and problem-solving skills while introducing best practices for efficient coding.

Designed and delivered lab sessions on operating systems and system design, resolving 100+ practical issues and updating exercises to reflect current industry standards.

Automated grading workflows using Python and Bash, saving 15+ hours weekly and streamlining evaluation for large classes.

Reviewed 500+ student assignments, enforcing coding standards and increasing project pass rates while providing constructive feedback to improve learning outcomes.

Introduced Python-based feedback templates, reducing submission turnaround time by 8 hours weekly and improving overall grading consistency.

Assisted in developing small-scale FastAPI and Flask projects for class exercises, enhancing hands-on learning and practical exposure to web frameworks.

Provided mentorship in Git version control, CI/CD pipelines, and software best practices, and guided students on deploying small projects to cloud environments.

Supported students in implementing basic AI/ML projects using Scikit-learn and PyTorch, preparing them for modern backend, predictive modeling, and data-driven applications.

KPMG Software Engineer India Jun 2022 – Jul 2023

Built backend microservices using Java Spring Boot and FastAPI, handling 100K+ daily financial transactions.

Implemented Apache Kafka pipelines for event-driven workflows, processing 50K+ messages/sec reliably.

Optimized DynamoDB queries for 10M+ records with sharding, improving response times by 5 seconds.

Designed and deployed secure REST APIs for inventory and financial data management.

Collaborated with QA and DevOps teams to ensure 99.9% uptime for production services.

Mentored junior engineers on CI/CD best practices, microservices design, and API integration, increasing team delivery efficiency. Trigent Software Software Engineer India Aug 2021 - Jun 2022

Developed a rental platform using Golang, Angular, and PostgreSQL, processing 10K+ transactions monthly.

Integrated Stripe and PayPal payment gateways for seamless financial processing.

Applied AWS-based route optimization, reducing booking processing time by 15 minutes per transaction.

Built event management system using Node.js microservices and PostgreSQL, supporting 50K+ active users.

Optimized PostgreSQL queries and indexes, improving API response time by 2 seconds.

Implemented automated unit and integration testing workflows using PyTest and JUnit, enhancing system reliability. PROJECTS

Urban Maintenance Scout (Python, PyTorch, DETR, Streamlit, PostgreSQL, Supabase, Folium)

Spearheaded the design of a computer vision pipeline using DETR and Grounding DINO models with Groq LLM classification, enabling early hazard detection and cutting inspection delays by 4+ days per case.

Directed dashboard development with Streamlit and Folium, integrating PostgreSQL + Supabase to support municipal teams in prioritizing 10+ high-impact fixes weekly, strengthening stakeholder decision-making. Hyperspectral Image Classification (Python, PyTorch)

Created a deep learning pipeline using ResNet18 and VIT to classify hyperspectral imagery over 200 spectral bands, achieving top-3 accuracy on 20+ test classes; results published in IEEE proceedings.

Fine-tuned spectral-spatial extractors to reduce overfitting across 10 training runs, improving classification accuracy on small- sample datasets by 12+ correctly predicted classes. Natural Language SQL Query Assistant (Python, Streamlit, PostgreSQL):

Built a text-to-SQL interface using Groq LLM, supporting 5 database schemas for natural language query translation.

Accelerated analytics workflows by cutting average query response time by 25 seconds for non-technical users. Healthcare Management System (Next.js, TypeScript, AWS)

Designed a serverless patient platform using Next.js, AWS Lambda, and RDS, enabling access for 1,000+ daily users.

Deployed secure appointment pipelines with role-based access control, managing real-time record updates. AI System Design Generator (Groq LLM, Mermaid.js)

Automated system architecture diagrams across AWS, GCP, and Azure using Groq LLM and Mermaid.js.

Streamlined solution design time by 3+ hours per proposal, supporting 5+ cross-platform projects. EDUCATION

Northern Illinois University Chicago, IL Aug 2023 – May 2025 Master of Science in Computer Science, GPA: 3.8/4.0 Velagapudi Ramakrishna Siddhartha Engineering College India Jul 2018 – May 2022 Bachelor of Technology in Information Technology, GPA: 3.6/4.0 CERTIFICATIONS

AWS Certified Developer (2024) Google

Data Analytics Professional Certificate

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