Generative AI | MLOps | M.Tech(IIT Madras)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NexusSQL
May 2, 2026 – Present
The SQL agent that thinks before it queries ReAct reasoning, semantic caching, multi-LLM, 100+ tables, zero config
View ProjectHarnessAgent
April 23, 2026 – Present
Production-grade multi-agent AI harness. Run any LLM, any framework. Memory, safety, self-improvement built in.
View Projectmicoracle
April 17, 2026 – Present
MicOracle : talk to Claude Code and Codex CLI instead of typing. Wake-word triggered, runs fully offline on Apple Silicon or any CPU, works on macOS/Linux/Windows. .
View ProjectSQL-AI-Agent
April 15, 2026 – Present
Ask questions in plain English. Get SQL, results, and answers scored by SQLAS, orchestrated by LangGraph, safe by design.
View ProjectSQLAS
April 15, 2026 – Present
Production-grade evaluation framework for Text-to-SQL and SQL AI agents. 50 metrics. Any LLM. pip install sqlas.
View ProjectHow-to-become-an-AI-Engineer-in-2026
June 30, 2023 – Present
How to become Generative AI Engineer in 3-12 months using Free Generative AI resources
View Projectsous-chef-bot
October 1, 2019 – September 29, 2019
Tutorial for building your own Sous Chef Bot
View ProjectPath-to-become-Data-Scientist
July 23, 2019 – December 20, 2020
Path to become data scientist is step by step collection of videos and reading material to become data scientist.
View ProjectPython-Beginner-Series-IPL
June 13, 2019 – June 13, 2019
we are starting our python beginner series for scholar who want start career in python
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on AI/ML, indicating a strong passion for the field. However, the lack of diverse project types, team experiences, or contributions to open-source beyond personal repositories limits the assessment of broader cultural fit, especially in collaborative or cross-functional environments. The target role is 'Data Scientist', and while AI/ML is a component, traditional data science skills (statistics, data manipulation, visualization, experimental design) are not explicitly demonstrated in the projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a proactive and self-directed learning approach, but there is no information on collaboration, problem-solving under pressure, or communication in a team setting.