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I am a software engineer with 4 years of backend-heavy experience, owning APIs from development through production. I currently work at Morgan Stanley on AI-backed document and retrieval systems, using Python, FastAPI, and AWS to deliver measurable gains in search accuracy, latency, and analyst productivity. Previously I built and scaled Node.js and React-based SaaS products serving 50K+ users, with deep involvement in database design, authentication, and release execution. I enjoy collaborating with product, data science, and frontend teams while maintaining ownership of system reliability and performance.…I am a software engineer with 4 years of backend-heavy experience, owning APIs from development through production. I currently work at Morgan Stanley on AI-backed document and retrieval systems, using Python, FastAPI, and AWS to deliver measurable gains in search accuracy, latency, and analyst productivity. Previously I built and scaled Node.js and React-based SaaS products serving 50K+ users, with deep involvement in database design, authentication, and release execution. I enjoy collaborating with product, data science, and frontend teams while maintaining ownership of system reliability and performance.

Aswin Tony Kanikairaj

Back-End Developer, Full Stack Developer, Web Developer, +3

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I am a software engineer with 4 years of backend-heavy experience, owning APIs from development through production. I currently work at Morgan Stanley on AI-backed document and retrieval systems, using Python, FastAPI, and AWS to deliver measurable gains in search accuracy, latency, and analyst productivity. Previously I built and scaled Node.js and React-based SaaS products serving 50K+ users, with deep involvement in database design, authentication, and release execution. I enjoy collaborating with product, data science, and frontend teams while maintaining ownership of system reliability and performance.…I am a software engineer with 4 years of backend-heavy experience, owning APIs from development through production. I currently work at Morgan Stanley on AI-backed document and retrieval systems, using Python, FastAPI, and AWS to deliver measurable gains in search accuracy, latency, and analyst productivity. Previously I built and scaled Node.js and React-based SaaS products serving 50K+ users, with deep involvement in database design, authentication, and release execution. I enjoy collaborating with product, data science, and frontend teams while maintaining ownership of system reliability and performance.

Available to hire

I am a software engineer with 4 years of backend-heavy experience, owning APIs from development through production. I currently work at Morgan Stanley on AI-backed document and retrieval systems, using Python, FastAPI, and AWS to deliver measurable gains in search accuracy, latency, and analyst productivity.

Previously I built and scaled Node.js and React-based SaaS products serving 50K+ users, with deep involvement in database design, authentication, and release execution. I enjoy collaborating with product, data science, and frontend teams while maintaining ownership of system reliability and performance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineer – AI & ML Platforms at Morgan Stanley

January 1, 2025 - Present

I engineered a high-throughput backend service using Python + FastAPI to ingest, chunk, and serve 3M+ documents (research and compliance), reducing analyst lookup time by 61%. Implemented a targeted RAG-based retrieval flow for natural-language queries over policy and reference data, raising answer relevance from 68% to 87% during UAT. Architected and deployed ML inference APIs on AWS ECS + Docker, sustaining 20K+ monthly requests with p95 latency under 420 ms while meeting security and audit requirements. Built and optimized text classification pipelines using scikit-learn + XGBoost to tag regulatory issues and trade exceptions, reducing manual triage by 34%. Drove cross-team collaboration with frontend engineers and risk stakeholders by defining API contracts, edge cases, and validation rules using FastAPI schemas + Postman, shipping features two sprints early. I owned production releases through GitHub Actions + CloudWatch, tightening rollback checks and monitoring to cut deployment

Software Development Engineer - Backend at RailMech Engineers

January 1, 2021 - August 1, 2023

Architected backend development for core SaaS workflows by building scalable services in Node.js and Express, powering onboarding, subscriptions, and account management used daily by 50K+ active users. Reworked application data architecture in PostgreSQL, redesigning schemas, indexes, and query paths to remove bottlenecks and reduce average API response times by 35% across reporting and dashboard APIs. Shipped customer-facing features on the frontend using React and JavaScript, owning settings, admin, and account-management screens that cut support tickets by 27% after rollout. Rolled out secure, multi-tenant authentication and authorization flows using JWT, enabling RBAC across organizations and lowering access-related support escalations by 28%. Coordinated closely with frontend, product, and QA teams to plan feature scope, align API contracts, and unblock dependencies early, helping the team deliver releases one sprint ahead of roadmap targets.