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I'm Vysakh Ramakrishnan, a full-stack developer and AI engineer who builds end-to-end software with React/TypeScript front-ends, Postgres-backed APIs, and Dockerized production environments. I’m passionate about blending AI innovation with robust engineering to deliver reliable, user-focused software that scales and performs in the real world. I’ve worked across academia and industry, from research roles at Harvard Medical School to industry positions at Capgemini and stealth startups. Recent projects include designing LLM-backed semantic retrieval systems, temporally-aware information grounding, and segmentation models for medical imaging, all guided by a strong emphasis on performance, telemetry, and practical impact.…I'm Vysakh Ramakrishnan, a full-stack developer and AI engineer who builds end-to-end software with React/TypeScript front-ends, Postgres-backed APIs, and Dockerized production environments. I’m passionate about blending AI innovation with robust engineering to deliver reliable, user-focused software that scales and performs in the real world. I’ve worked across academia and industry, from research roles at Harvard Medical School to industry positions at Capgemini and stealth startups. Recent projects include designing LLM-backed semantic retrieval systems, temporally-aware information grounding, and segmentation models for medical imaging, all guided by a strong emphasis on performance, telemetry, and practical impact.

Vysakh Ramakrishnan

Full Stack Developer, AI Engineer, Data Scientist, +2

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I'm Vysakh Ramakrishnan, a full-stack developer and AI engineer who builds end-to-end software with React/TypeScript front-ends, Postgres-backed APIs, and Dockerized production environments. I’m passionate about blending AI innovation with robust engineering to deliver reliable, user-focused software that scales and performs in the real world. I’ve worked across academia and industry, from research roles at Harvard Medical School to industry positions at Capgemini and stealth startups. Recent projects include designing LLM-backed semantic retrieval systems, temporally-aware information grounding, and segmentation models for medical imaging, all guided by a strong emphasis on performance, telemetry, and practical impact.…I'm Vysakh Ramakrishnan, a full-stack developer and AI engineer who builds end-to-end software with React/TypeScript front-ends, Postgres-backed APIs, and Dockerized production environments. I’m passionate about blending AI innovation with robust engineering to deliver reliable, user-focused software that scales and performs in the real world. I’ve worked across academia and industry, from research roles at Harvard Medical School to industry positions at Capgemini and stealth startups. Recent projects include designing LLM-backed semantic retrieval systems, temporally-aware information grounding, and segmentation models for medical imaging, all guided by a strong emphasis on performance, telemetry, and practical impact.

Available to hire

I’m Vysakh Ramakrishnan, a full-stack developer and AI engineer who builds end-to-end software with React/TypeScript front-ends, Postgres-backed APIs, and Dockerized production environments. I’m passionate about blending AI innovation with robust engineering to deliver reliable, user-focused software that scales and performs in the real world.

I’ve worked across academia and industry, from research roles at Harvard Medical School to industry positions at Capgemini and stealth startups. Recent projects include designing LLM-backed semantic retrieval systems, temporally-aware information grounding, and segmentation models for medical imaging, all guided by a strong emphasis on performance, telemetry, and practical impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

French

Intermediate

Work Experience

Full stack Software Engineer at Stealth Startup

September 1, 2025 - Present

Designed and deployed an LLM-backed semantic retrieval system enabling temporal context awareness, efficient resource reuse, and telemetry to accelerate iteration cycles, achieving a 50% reduction in latency. Implemented advanced query interpretation and contextual filtering with unit-tested support for contextual roles, and extended data indexing with normalized metadata to ensure consistent cross-channel searchability. Collaborated with ML and backend teams to orchestrate end-to-end evaluation and deployment in a containerized environment.

AI Research Engineer Intern at Sony Europe Limited

June 1, 2025 - Present

Developing a temporally-aware semantic retrieval system powered by large language models, with adaptive query understanding and dynamic context tracking for improved multi-session information grounding. Built a differentiable framework that jointly optimizes physical metasurface structures and neural image reconstruction to improve imaging performance.

Research Scholar at Massachusetts General Hospital, Harvard Medical School

March 1, 2024 - October 15, 2025

Formulated a minimally supervised segmentation technique enabling real-time object tracking. Created a Visual Question Localized-Answering (VQLA) module to recognize key anatomical features in surgery. Achieved robotic arm segmentation on an in-house thoracic surgery dataset using a UNet model with an IoU value of more than 92% on the validation set. Performed multi-class segmentation of the Pulmonary artery using a Mask R-CNN model with a ResNet-50 backbone pre-trained on ImageNet, obtaining IoU in the range of 81–89%.

Senior Software Engineer at Capgemini Technology Services India Limited

May 1, 2022 - October 15, 2025

Reduced the execution time of a standard report by optimizing the SELECT query and increasing the tablespace size. Additionally, optimized a proxy call from a third-party tool to the SAP environment using Object-Oriented ABAP techniques. Rectified financial balance mismatches in ledgers due to legacy file accessibility issues using SAP notes.