Ashish Valentine Alex

Data Scientist

https://talent.gravityer.com/ashish-valentine-alex

🚀 AI Developer by day, dreamer by night. 🤖 Turning coffee into code, bugs into features, and Selenium into click art!

Hyderabad, Telangana, India

Key Strengths

Demonstrated proficiency in Python for various AI/ML applications.
Experience with Natural Language Processing (NLP) and Large Language Models (LLMs) as shown in 'MCP_NLP2SQL' and 'BYOM' projects.
Practical application of AI for data extraction and categorization (e.g., 'Multi-Tenant-AI-Expense-Tracker').
Familiarity with data pipeline automation and integration (e.g., 'online_campus').
Exposure to MLOps concepts through Dockerfile usage and model deployment considerations.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal, self-driven projects, indicating a proactive and self-starter mindset. The diversity of AI/ML applications suggests adaptability and a willingness to explore different problem domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on complex technical problems independently.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Multi-Tenant-AI-Expense-Tracker

June 4, 2026 – Present

A full-stack expense tracking application where users upload invoice images or PDFs, and an AI pipeline automatically extracts and categorizes the data.

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code-generation-model-human-preference-DPO-based-RLHF

May 3, 2026 – Present

code-generation-model-human-preference-DPO-based-RLHF — GitHub repository

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docling-pgai

February 23, 2026 – Present

docling-pgai — GitHub repository

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online_campus

January 11, 2026 – Present

Automated data pipeline that eliminates manual member onboarding by intelligently validating, enriching, and synchronizing registration data between Google Sheets using AI-powered geographic and contact information normalization.

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BYOM

January 10, 2026 – Present

🤖 Bring Your Own Model - Chat with multiple LLM providers using your own API keys

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uv_project_setup

January 10, 2026 – Present

uv_project_setup — GitHub repository

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Stt_project

November 29, 2025 – November 29, 2025

Stt_project — GitHub repository

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Scientific-projects

October 29, 2025 – November 2, 2025

Scientific-projects — GitHub repository

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ai-credit-score

October 26, 2025 – October 27, 2025

ai-credit-score — GitHub repository

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MCP_NLP2SQL

August 19, 2025 – August 19, 2025

This project provides an MCP (Model Context Protocol) server that connects to a PostgreSQL database, auto-documents the schema, and enables natural language → SQL querying with minimal hallucination by using strict schema validation.

View Project

Key Strengths

Demonstrated proficiency in Python for various AI/ML applications.
Experience with Natural Language Processing (NLP) and Large Language Models (LLMs) as shown in 'MCP_NLP2SQL' and 'BYOM' projects.
Practical application of AI for data extraction and categorization (e.g., 'Multi-Tenant-AI-Expense-Tracker').
Familiarity with data pipeline automation and integration (e.g., 'online_campus').
Exposure to MLOps concepts through Dockerfile usage and model deployment considerations.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on complex technical problems independently.

Ashish Valentine Alex

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit