D Abhiram Karanth

Data Scientist

https://www.opentalent.in/d-abhiram-karanth

CS Undergrad

Bengaluru, Karnataka, India

Key Strengths

Demonstrated proficiency in Go for backend and system-level development, including distributed systems, rate limiting, and authentication services.
Experience with AI/ML projects, specifically an educational AI agent using Mistral AI and fine-tuning BERT for text classification, which aligns with Data Scientist role.
Strong foundational understanding of system design principles, evident in projects like horizontally scalable chat platforms, KV storage engines, and distributed search engines.
Exposure to WebRTC for real-time communication, indicating knowledge of network protocols and low-latency systems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly focused on backend engineering, system design, and distributed systems using Go, with some exposure to AI/ML. While the 'edu-agent' and 'fine-tuning-bert-for-text-classification' projects align with a Data Scientist role, the majority of the portfolio leans towards software engineering. This suggests a potential mismatch in primary focus for a dedicated Data Scientist role, though the AI/ML projects demonstrate relevant interest and capability.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, indicating good technical communication.

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Projects

go_repireo

April 28, 2026 – Present

go_repireo — repository

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bedrockdb

March 20, 2026 – Present

LSM KV storage engine

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turbo-query

February 22, 2026 – Present

High performance distributed search engine

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throttle-flow

January 29, 2026 – Present

Standalone rate-limiter microservice in go

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p2p-vision-web

January 22, 2026 – Present

A web application for video calling using WebRTC technology for low-latency communication.

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auth-flow

January 20, 2026 – Present

API-first IDaaS in Go with OAuth login, JWT issuance, JWKS, and token revocation.

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p2p-vision

December 10, 2025 – Present

A native mobile application for video calling using WebRTC technology for low-latency communication.

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fine-tuning-bert-for-text-classification

November 20, 2025 – November 21, 2025

fine-tuning-bert-for-text-classification — repository

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signal-flow

October 27, 2025 – Present

Horizontally scalable real-time chat platform built with Golang

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edu-agent

September 14, 2025 – December 15, 2025

Educational AI agent built with Streamlit and Mistral AI that revolutionizes studying by converting static PDFs into dynamic learning sessions. Offers document summarization, difficulty-adaptive quiz generation, programming challenges, conversational tutoring with tool calling, and intelligent Q&A using retrieval-augmented generation.

View Project

Key Strengths

Demonstrated proficiency in Go for backend and system-level development, including distributed systems, rate limiting, and authentication services.
Experience with AI/ML projects, specifically an educational AI agent using Mistral AI and fine-tuning BERT for text classification, which aligns with Data Scientist role.
Strong foundational understanding of system design principles, evident in projects like horizontally scalable chat platforms, KV storage engines, and distributed search engines.
Exposure to WebRTC for real-time communication, indicating knowledge of network protocols and low-latency systems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, indicating good technical communication.

D Abhiram Karanth

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit