Abhiram S Sajeev
Frontend DeveloperMember since June 24, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
togather-ml-feature-pipeline
October 2, 2025 – Present
togather-ml-feature-pipeline — repository
View ProjectwebRTC-from-scratch-to-scale
August 1, 2025 – August 2, 2025
Real time peer to peer communiation without any frameworks. Curating Scalable webRTC architectures
View Projecthumane-backend
April 29, 2025 – Present
Event-driven microservices backend for Humane, a behavior-rewarding social platform. Implements CQRS with Kafka for eventual consistency, Elasticsearch for global search, and polyglot persistence, with ML-powered moderation pipelines for content safety.
View Projectlearning-list
January 19, 2025 – Present
A curated collection of learning resources, blogs, and roadmaps I follow to continuously upskill, tracked via GitHub Issues.
View Projectaicademy-fontend
December 9, 2024 – Present
AIcademy is an LMS platform similar to Udemy, where students can access high-quality courses at affordable rates, and teachers can earn by selling their courses. AIcademy leverages Retrieval Augmented Generation (RAG) to address students' doubts by referring to the context of the video, ensuring that answers are contextually relevant to the course
View Projectaicademy-backend
December 9, 2024 – Present
This repository contains the backend code for the AIcademy project. The backend is responsible for handling AI preprocessing, video and audio processing, authentication, and more.
View ProjectVidChat
February 21, 2024 – January 26, 2025
a Web application that allows user to chat with a Youtube video of any length
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong inclination towards personal learning and development, as evidenced by 'learning-list' and 'Daily-DSA'. The diversity of projects, from ML feature pipelines to real-time communication, suggests a broad interest in technology. However, the projects are predominantly personal and lack clear team collaboration or professional context, making it difficult to assess cultural fit in a collaborative environment. The target role is 'Frontend Developer', and while some projects align, the overall breadth might indicate a generalist tendency rather than a focused frontend specialist.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric or English test results are available.