Available to hire
I’m Omkar Mane, a software engineer focused on full-stack development and AI integration. I’m currently at Morgan Stanley, building scalable microservices and real-time data pipelines.
I’ve delivered significant improvements like a 40% reduction in query resolution time via AI-backed backend integration and established CI/CD pipelines that accelerate releases. I aim to apply API architecture and cloud engineering expertise to boost operational efficiency and drive innovative tech in software.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Software Engineer - Full Stack & AI Integration at Morgan Stanley
September 1, 2022 - PresentBuilt and deployed FastAPI + Node.js microservices on AWS Lambda and EC2, handling 2M+ API calls monthly with <200ms latency. Integrated LangChain + Hugging Face Transformers into backend pipelines for document summarization and chatbot workflows, reducing manual query resolution time by 40%. Designed real-time Kafka + Redis streaming pipeline for trade and risk event monitoring, cutting data processing lag from 15s to under 3s. Implemented vector search with Pinecone for retrieval-augmented generation (RAG), enabling faster financial research lookups across 10M+ records. Automated CI/CD using GitHub Actions + Terraform + AWS CodePipeline, shrinking release cycles from biweekly to daily. Deployed secure APIs (OAuth2, JWT, rate-limiting) with CloudWatch + X-Ray monitoring, improving system uptime to 99.9% and passing internal penetration tests.
Software Developer at INFINITE INFOLAB
July 1, 2023 - September 24, 2025Designed high-throughput API services with FastAPI and Node.js, scaling to 1.5M+ monthly requests while maintaining sub-150ms response times. Implemented Kafka + Redis streaming pipelines to synchronize user activity logs, cutting data propagation delays from 12s to under 2s. Deployed NLP pipelines using SpaCy + Scikit-learn for text classification and keyword extraction, reducing manual document triage effort by 30%. Containerized ML models with Docker and AWS SageMaker, deploying inference endpoints through automated GitHub Actions pipelines. Built React + Next.js dashboards for tracking pipeline health and monitoring model performance, helping product managers identify drift in real time. Introduced Terraform-based infrastructure templates for repeatable cloud deployments, reducing environment setup effort from 3 days to a few hours.
Full Stack Developer at SAGE SOFTTECH
November 1, 2021 - September 24, 2025Built and deployed Spring Boot + React.js applications serving 50K+ active users, with modular REST APIs and responsive UI for production systems. Optimized PostgreSQL + Redis data layer, redesigning queries and caching to cut API latency by 75% (900ms to 200ms). Designed Kafka-based event streaming pipelines processing 20K+ messages/sec, enabling real-time transaction workflows and analytics. Automated cloud deployments on AWS (EC2, RDS, S3) with Docker, Kubernetes, and Terraform, achieving 99.9% uptime and reducing release cycles from weeks to days.
Software Engineer - Full Stack & AI Integration at Morgan Stanley
September 1, 2024 - November 11, 2025Built and deployed FastAPI + Node.js microservices on AWS Lambda and EC2, handling 2M+ API calls monthly with <200ms latency. Integrated LangChain + Hugging Face Transformers into backend pipelines for document summarization and chatbot workflows, reducing manual query resolution time by 40%. Designed real-time Kafka + Redis streaming pipeline for trade and risk event monitoring, cutting data processing lag from 500ms to under 120ms. Implemented vector search with Pinecone for retrieval-augmented generation (RAG), enabling faster financial research lookups across 10M+ records. Automated CI/CD using GitHub Actions + Terraform + AWS CodePipeline, shrinking release cycles from weekly to daily deployments. Deployed secure APIs (OAuth2, JWT, rate-limiting) with CloudWatch + X-Ray monitoring, improving system uptime to 99.9% and passing internal penetration tests.
Software Developer at Infinite Infolab
July 1, 2023 - July 1, 2023Designed high-throughput API services with FastAPI and Node.js, scaling to 1.5M+ monthly requests while maintaining sub-150ms response times. Implemented Kafka + Redis streaming pipelines to synchronize user activity logs, cutting data propagation delays from ~800 ms to ~150 ms. Deployed NLP pipelines using SpaCy + Scikit-learn for text classification and keyword extraction, reducing manual document triage effort by 30%. Containerized ML models with Docker and AWS SageMaker, deploying inference endpoints through automated GitHub Actions pipelines. Built React + Next.js dashboards for tracking pipeline health and monitoring model performance, helping product managers identify drift in real time. Introduced Terraform-based infrastructure templates for repeatable cloud deployments, reducing environment setup effort from days to a few hours.
Full Stack Developer at SAGE SOFTTECH
November 1, 2021 - November 1, 2021Built and deployed Spring Boot + React.js applications serving 50K+ active users, with modular REST APIs and responsive UI for production systems. Optimized PostgreSQL + Redis data layer, redesigning queries and caching to cut API latency by 75% (900ms to 200ms). Designed Kafka-based event streaming pipelines processing 20K+ messages/sec, enabling real-time transaction workflows and analytics. Automated cloud deployments on AWS (EC2, RDS, S3) with Docker, Kubernetes, and Terraform, achieving 99.9% uptime and reducing release cycles from weeks to days.
Education
Master of Science in Computer Science at The George Washington University, School of Engineering & Applied Science
January 11, 2030 - May 1, 2025Bachelor of Science in Electronic & Communications Engineering at Savitribai Phule Pune University
January 11, 2030 - May 1, 2022Master of Science at The George Washington University, School of Engineering & Applied Science
January 11, 2030 - May 1, 2025Master of Science in Computer Science at The George Washington University, School of Engineering & Applied Science
January 11, 2030 - May 1, 2025Qualifications
AWS Certified Developer Associate
January 11, 2030 - November 11, 2025AWS Certified Developer Associate
January 11, 2030 - November 11, 2025Industry Experience
Software & Internet, Financial Services, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Hire a Developer
We have the best developer experts on Twine. Hire a developer in Raleigh today.