Saurav Prateek

Data Scientist

https://talent.gravityer.com/saurav-prateek

Senior Web Solutions Engineer @ Google

google

Key Strengths

Strong interest and practical experience in AI/ML, particularly LLMs and deep learning, as evidenced by projects like 'AI-Engineering-101', 'llm-finetune', 'toy-transformer', and 'micrograd-java'.
Demonstrated ability to implement complex AI algorithms from scratch (e.g., 'toy-transformer', 'micrograd-java').
Experience with agentic workflows and RAG implementations ('AI-Engineering-101', 'LangPost', 'langraph-adaptive-rag', 'Static-Deep-Research', 'deep-researcher-reflect-evolve').
Proficiency in Python and Jupyter Notebook, key tools for Data Scientists.
Exposure to Java for DSA and low-level design, indicating foundational programming skills.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in cutting-edge AI/ML topics, which aligns well with an innovative and research-driven culture. The diversity of projects, from low-level design to advanced LLM fine-tuning, suggests a proactive and self-motivated individual. However, the lack of team-based projects or professional experience details makes it difficult to fully assess collaboration and broader cultural fit.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

llm-finetune

March 8, 2026 – Present

Collection of notebooks for fine-tuning LLMs from scratch

View Project

toy-transformer

January 3, 2026 – Present

A decoder only Transformer implementing masked attention

View Project

deep-researcher-reflect-evolve

December 19, 2025 – Present

Performance Analysis of Deep Research Agent - Continuous Evolution

View Project

Static-Deep-Research

November 30, 2025 – December 16, 2025

A hierarchical tree-based approach for creating configurable and static Deep Research Agent

View Project

AI-Engineering-101

July 4, 2025 – Present

Collection of Agentic Workflows

View Project

micrograd-java

January 15, 2025 – February 11, 2025

A Deep Neural network from scratch in Java

View Project

LangPost

September 28, 2024 – September 29, 2024

Agent that summarizes the Linkedin Articles into Post content

View Project

langraph-adaptive-rag

August 18, 2024 – September 11, 2024

Implementing Adaptive RAG in LangChain using OpenAI module

View Project

Saurav-Low-Level-Design-Template

August 22, 2023 – March 23, 2024

Low Level Design template

View Project

Saurav-s-DSA-Templates

July 2, 2023 – March 9, 2024

My Data Structures and Algorithms templates

View Project

Key Strengths

Strong interest and practical experience in AI/ML, particularly LLMs and deep learning, as evidenced by projects like 'AI-Engineering-101', 'llm-finetune', 'toy-transformer', and 'micrograd-java'.
Demonstrated ability to implement complex AI algorithms from scratch (e.g., 'toy-transformer', 'micrograd-java').
Experience with agentic workflows and RAG implementations ('AI-Engineering-101', 'LangPost', 'langraph-adaptive-rag', 'Static-Deep-Research', 'deep-researcher-reflect-evolve').
Proficiency in Python and Jupyter Notebook, key tools for Data Scientists.
Exposure to Java for DSA and low-level design, indicating foundational programming skills.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Saurav Prateek

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit