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I am a Full Stack Engineer with 5+ years of experience designing and scaling AI-driven platforms, cloud-native microservices, and real-time data pipelines across finance, IT, and enterprise domains. I thrive on solving complex technical problems and collaborating with cross-functional teams to deliver high-impact products. I excel at building high-throughput distributed systems, ETL/ELT pipelines, and generative AI solutions that boost adoption, revenue, and user engagement. I am proficient in Python, JavaScript/TypeScript, SQL, and cloud (AWS, GCP, Azure), and I deliver secure, compliant systems with Terraform-based IaC while collaborating closely with product and frontend teams.…I am a Full Stack Engineer with 5+ years of experience designing and scaling AI-driven platforms, cloud-native microservices, and real-time data pipelines across finance, IT, and enterprise domains. I thrive on solving complex technical problems and collaborating with cross-functional teams to deliver high-impact products. I excel at building high-throughput distributed systems, ETL/ELT pipelines, and generative AI solutions that boost adoption, revenue, and user engagement. I am proficient in Python, JavaScript/TypeScript, SQL, and cloud (AWS, GCP, Azure), and I deliver secure, compliant systems with Terraform-based IaC while collaborating closely with product and frontend teams.

Rohan V

Full Stack Developer, Front-End Developer, Back-End Developer, +2

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I am a Full Stack Engineer with 5+ years of experience designing and scaling AI-driven platforms, cloud-native microservices, and real-time data pipelines across finance, IT, and enterprise domains. I thrive on solving complex technical problems and collaborating with cross-functional teams to deliver high-impact products. I excel at building high-throughput distributed systems, ETL/ELT pipelines, and generative AI solutions that boost adoption, revenue, and user engagement. I am proficient in Python, JavaScript/TypeScript, SQL, and cloud (AWS, GCP, Azure), and I deliver secure, compliant systems with Terraform-based IaC while collaborating closely with product and frontend teams.…I am a Full Stack Engineer with 5+ years of experience designing and scaling AI-driven platforms, cloud-native microservices, and real-time data pipelines across finance, IT, and enterprise domains. I thrive on solving complex technical problems and collaborating with cross-functional teams to deliver high-impact products. I excel at building high-throughput distributed systems, ETL/ELT pipelines, and generative AI solutions that boost adoption, revenue, and user engagement. I am proficient in Python, JavaScript/TypeScript, SQL, and cloud (AWS, GCP, Azure), and I deliver secure, compliant systems with Terraform-based IaC while collaborating closely with product and frontend teams.

Available to hire

I am a Full Stack Engineer with 5+ years of experience designing and scaling AI-driven platforms, cloud-native microservices, and real-time data pipelines across finance, IT, and enterprise domains. I thrive on solving complex technical problems and collaborating with cross-functional teams to deliver high-impact products.

I excel at building high-throughput distributed systems, ETL/ELT pipelines, and generative AI solutions that boost adoption, revenue, and user engagement. I am proficient in Python, JavaScript/TypeScript, SQL, and cloud (AWS, GCP, Azure), and I deliver secure, compliant systems with Terraform-based IaC while collaborating closely with product and frontend teams.

Skills

Experience Level

Expert

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Expert

Expert

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Expert

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Expert

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Language

English

Fluent

Work Experience

Full Stack Engineer at Perplexity AI

January 1, 2025 - November 3, 2025

Engineered and scaled Python microservices for the Sonar API, enabling millions of low-latency, citation-rich queries daily, boosting enterprise adoption across finance, IT, and enterprise apps. Reduced latency by 40% via real-time streaming (SSE/WebSockets); built backend APIs with Python (FastAPI/Flask) and orchestrated AI pipelines using Docker, Kubernetes (EKS), and AWS Lambda for serverless triggers. Integrated retrieval-augmented generation (RAG) with ElasticSearch + Pinecone for semantic search, and implemented Python ETL jobs with Airflow/Pandas to boost retrieval accuracy by ~35% and reduce pipeline latency by ~25%. Implemented Stripe/Braintree billing APIs for subscription models and enterprise usage; developed ad-matching microservices and enhanced media pipelines with CloudFront CDN and OpenCV preprocessing. Built personalization services with PyTorch/TensorFlow and embeddings stored in Redis/DynamoDB; collaborated with frontend engineers to deliver dashboards and real-time

Full Stack Developer at Shopify

December 1, 2024 - December 1, 2024

Spearheaded AI-driven merchant tools (Sidekick & Magic) automating content creation, boosting adoption across 2M+ merchants. Engineered real-time LLM orchestration pipelines in Python reducing response latency to under 300ms; built scalable AI media/content workflows with payments and AdTech APIs, driving 28% revenue growth. Developed Python microservices on Google Cloud GKE and AWS EKS; implemented streaming AI pipelines with Apache Beam (Python) + Dataflow to process 200M+ embeddings daily; designed asynchronous media pipelines with Celery, Redis, FFmpeg, and PySpark ETL. Integrated Shopify Payments and external AdTech APIs for secure attribution and analytics; delivered real-time data delivery via GraphQL subscriptions, WebSockets, and gRPC. Frontend work included React.js + TypeScript integrations for merchant dashboards.

Software Developer at Accenture

July 1, 2022 - July 1, 2022

Developed real-time Python microservices processing 3M+ IoT events/sec from 18K+ BPCL outlets, increasing equipment uptime by 30% and improving safety by 25%. Analyzed sensor data and supported AI-driven predictive maintenance models with proactive alerts to 100K+ employees. Built secure cloud-native payment and personalization APIs on AWS/Azure enabling UPI integration and loyalty offers, boosting customer engagement by 20%. Backend services used Python (FastAPI/Flask), Kafka, Redis, PostgreSQL, and AWS Lambda with Terraform IaC; supported AI/ML pipelines using TensorFlow, PyTorch, MLflow, and Pandas/Dask; deployed models on AWS SageMaker/EKS with audit-ready monitoring. Created frontends with React.js/Redux and real-time dashboards using WebSockets and D3.js.