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Hi, I’m Sankalp. I’m a software developer specializing in AI-powered backend systems and distributed computing. I build scalable services using Python (FastAPI), Java (Spring Boot), and C++17, and I optimize models and deployments with PyTorch, ONNX Runtime, and TensorRT. I’ve engineered cloud pipelines with Docker, Kubernetes (EKS), and AWS to support large-scale AI workloads. I’m passionate about turning data into actionable products while delivering reliable performance at scale. I also enjoy crafting interactive front-ends with React.js and TypeScript to create data-driven dashboards and experiences. I thrive in cross-functional teams and love bridging backend and frontend work to ship high-impact features. My dual focus on frontend UX and backend reliability helps me deliver holistic engineering solutions that users trust.…Hi, I’m Sankalp. I’m a software developer specializing in AI-powered backend systems and distributed computing. I build scalable services using Python (FastAPI), Java (Spring Boot), and C++17, and I optimize models and deployments with PyTorch, ONNX Runtime, and TensorRT. I’ve engineered cloud pipelines with Docker, Kubernetes (EKS), and AWS to support large-scale AI workloads. I’m passionate about turning data into actionable products while delivering reliable performance at scale. I also enjoy crafting interactive front-ends with React.js and TypeScript to create data-driven dashboards and experiences. I thrive in cross-functional teams and love bridging backend and frontend work to ship high-impact features. My dual focus on frontend UX and backend reliability helps me deliver holistic engineering solutions that users trust.

Sankalp Timmanayanapeta

Back-End Developer, Full Stack Developer, AI Engineer, +4

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Hi, I’m Sankalp. I’m a software developer specializing in AI-powered backend systems and distributed computing. I build scalable services using Python (FastAPI), Java (Spring Boot), and C++17, and I optimize models and deployments with PyTorch, ONNX Runtime, and TensorRT. I’ve engineered cloud pipelines with Docker, Kubernetes (EKS), and AWS to support large-scale AI workloads. I’m passionate about turning data into actionable products while delivering reliable performance at scale. I also enjoy crafting interactive front-ends with React.js and TypeScript to create data-driven dashboards and experiences. I thrive in cross-functional teams and love bridging backend and frontend work to ship high-impact features. My dual focus on frontend UX and backend reliability helps me deliver holistic engineering solutions that users trust.…Hi, I’m Sankalp. I’m a software developer specializing in AI-powered backend systems and distributed computing. I build scalable services using Python (FastAPI), Java (Spring Boot), and C++17, and I optimize models and deployments with PyTorch, ONNX Runtime, and TensorRT. I’ve engineered cloud pipelines with Docker, Kubernetes (EKS), and AWS to support large-scale AI workloads. I’m passionate about turning data into actionable products while delivering reliable performance at scale. I also enjoy crafting interactive front-ends with React.js and TypeScript to create data-driven dashboards and experiences. I thrive in cross-functional teams and love bridging backend and frontend work to ship high-impact features. My dual focus on frontend UX and backend reliability helps me deliver holistic engineering solutions that users trust.

Available to hire

Hi, I’m Sankalp. I’m a software developer specializing in AI-powered backend systems and distributed computing. I build scalable services using Python (FastAPI), Java (Spring Boot), and C++17, and I optimize models and deployments with PyTorch, ONNX Runtime, and TensorRT. I’ve engineered cloud pipelines with Docker, Kubernetes (EKS), and AWS to support large-scale AI workloads. I’m passionate about turning data into actionable products while delivering reliable performance at scale.

I also enjoy crafting interactive front-ends with React.js and TypeScript to create data-driven dashboards and experiences. I thrive in cross-functional teams and love bridging backend and frontend work to ship high-impact features. My dual focus on frontend UX and backend reliability helps me deliver holistic engineering solutions that users trust.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Developer at Epsilon

March 1, 2015 - Present

Architected scalable AI-driven microservices using Python (FastAPI) and Java (Spring Boot), integrated with GraphQL APIs and PostgreSQL, supporting over 3.2M daily API calls with sub-200 ms latency. Engineered deep learning inference pipelines with PyTorch Lightning, ONNX Runtime, and TensorRT, boosting model serving throughput on NVIDIA A100 GPUs for personalization workloads. Coordinated distributed training environments using Docker, Kubernetes (EKS), and AWS Batch, scaling GPU clusters (32 nodes) for production-grade AI retraining cycles and improving model refresh frequency by 2 days. Instrumented performance benchmarking with NVIDIA Nsight Systems and PyTorch Profiler, identifying compute-memory bottlenecks and enabling kernel-level fusion optimizations that reduced per-inference latency to 87 ms.

Software Engineer at Airbnb

November 1, 2021 - December 1, 2022

Developed modular front-end architectures using React.js, D3.js, and TypeScript, enabling real-time property analytics dashboards serving 120K+ daily listings with improved rendering speed and visual clarity. Implemented backend microservices in Java (Spring Boot) and Node.js/Express, integrating GraphQL APIs with PostgreSQL and MongoDB to handle over 5M daily property retrievals with optimized query latency. Orchestrated containerized deployments via Docker and Kubernetes on AWS EKS, automating rollout pipelines with GitHub Actions CI/CD, reducing manual deployment cycles from 2 hours to 20 minutes. Refactored data-heavy UI components with WebSockets, caching layers, and asynchronous rendering, lowering media interaction latency to under 300 ms and improving multi-device responsive UX. Deployed analytics pipelines using Airflow, Pandas, and Plotly Dash, aggregating live booking data across 40+ regions for near real-time actionable insights.

Frontend Developer Intern at Verzo

June 1, 2021 - November 1, 2021

Engineered interactive and responsive interfaces using React.js, JavaScript (ES6), and Bootstrap, enhancing usability across 6+ dynamic pages and improving customer session duration by 18 minutes. Optimized web rendering pipelines via lazy loading and modular bundling, cutting page load time by 1.4 seconds and improving client retention during A/B testing. Integrated REST API endpoints and front-end state management (React Hooks, Context API) in collaboration with the back-end team, streamlining data flow for real-time product dashboards. Validated cross-browser compatibility and conducted UI/UX refinement sessions with designers and QA testers, resolving 40+ interface inconsistencies and boosting user feedback to 4.7/5.

Software Developer at Epsilon

March 1, 2025 - Present

Architected scalable AI-driven microservices using Python (FastAPI) and Java (Spring Boot) with GraphQL APIs and PostgreSQL, supporting over 3.2M daily API calls with consistent sub-200 ms latency. Engineered deep learning inference pipelines leveraging PyTorch, ONNX Runtime, and TensorRT, accelerating model serving throughput on NVIDIA A100 GPUs for personalization workloads. Coordinated large-scale GPU training environments using Docker, Kubernetes (EKS), and AWS Batch, scaling GPU clusters (32 nodes) for production-grade AI retraining cycles, improving model refresh frequency by 2 days. Instrumented performance benchmarks with NVIDIA Nsight Systems and PyTorch Profiler, identifying compute-memory bottlenecks and enabling kernel-level fusion optimizations that reduced per-inference latency to 87 ms.

Software Engineer at Airbnb

November 1, 2020 - December 31, 2022

Frontend Developer Intern at Verzeo

June 1, 2021 - November 30, 2021

Engineered interactive and responsive interfaces using React.js, JavaScript (ES6), and Bootstrap, enabling usability across 6+ state-driven pages and improving user session duration by 18 minutes. Enhanced web rendering pipelines through lazy loading and modular bundling, cutting page load time by 1.4 seconds and improving client retention during A/B testing. Integrated REST API endpoints and front-end state management (React Hooks, Context API) in collaboration with back-end team, streaming data flow for real-time product dashboards. Validated cross-browser compatibility and conducted UI/UX refinement sessions with designers and QA testers, resolving 40+ inconsistencies and boosting user feedback to 4.7/5.