Mohit Acharya

Data Scientist

https://talent.gravityer.com/mohit-acharya

peeling off the layers of abstractions

IndiaMember since June 12, 2026

Key Strengths

Demonstrated interest and foundational understanding in LLM architectures and related technologies through projects like 'nanogpt', 'mini-vllm', and 'domain-rag-retriever'.
Strong programming skills in Python, evident across multiple projects including system-level implementations like 'minitorrent' and 'riscv-core-python'.
Exposure to low-level programming concepts (Assembly, C++) and operating systems, indicating a solid computer science foundation.
Experience with various development tools and environments (Jupyter Notebook, Makefile).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and academic, showcasing a strong drive for self-learning and exploration in technical domains. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The projects align well with a research-oriented or highly technical individual contributor role, but less so with roles requiring extensive team interaction or client-facing responsibilities. The target role of 'Data Scientist' is partially aligned with the LLM-focused projects, but broader data science skills (e.g., statistical modeling, data engineering, visualization) are not explicitly demonstrated.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

domain-rag-retriever

June 7, 2026 – Present

A domain-specific embedding retriever for improving RAG search quality.

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nanogpt

June 5, 2026 – Present

Implementing GPT-2 architecture

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GraphChat

June 3, 2026 – Present

A better way to interface with LLMs while studying.

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mini-vllm

May 18, 2026 – Present

A tiny LLM inference engine simulator.

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llm-adventure-game

March 27, 2026 – Present

Simple choose your own story game built with React and FastAPI.

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csapp-labs

September 3, 2025 – September 4, 2025

My solutions for the labs in CMU 15-213.

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algorithms-notes

May 31, 2025 – Present

Notes made while studying Data structures and Algorithms.

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minitorrent

March 22, 2025 – March 23, 2025

A CLI based BitTorrent Client using python's asyncio library.

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ostep-homework

February 28, 2025 – October 5, 2025

Solutions for problems in Operating Systems: Three Easy Pieces

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riscv-core-python

February 15, 2025 – March 12, 2025

Implementing a RISC-V 32I core in Python

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Key Strengths

Demonstrated interest and foundational understanding in LLM architectures and related technologies through projects like 'nanogpt', 'mini-vllm', and 'domain-rag-retriever'.
Strong programming skills in Python, evident across multiple projects including system-level implementations like 'minitorrent' and 'riscv-core-python'.
Exposure to low-level programming concepts (Assembly, C++) and operating systems, indicating a solid computer science foundation.
Experience with various development tools and environments (Jupyter Notebook, Makefile).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Mohit Acharya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit