Creating workflows for AI agents and developing conversational systems as a Staff Applied AI Engineer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
spark-yarn-metrics
March 8, 2026 – Present
A production-grade POC that ingests Apache Spark event logs and YARN logs, computes performance KPIs, detects anomalies using statistical methods, persists results to SQLite, visualises metrics as charts, and generates optimization recommendations powered by an LLM (or rule-based fallback).
View Projectsparkjobs-perf-analysis
February 23, 2026 – Present
sparkjobs-perf-analysis — GitHub repository
View Projectnlq-agent
February 16, 2026 – Present
An advanced agentic system that converts Natural Language Queries (NLQ) into SQL, executes them against a database, and provides natural language responses.
View Projectsystem-design-readings
February 7, 2026 – Present
A curated collection of system design resources to help you prepare for interviews and better understand scalable architectures.
View Projectchat-with-your-documents
January 26, 2026 – Present
A powerful AI assistant that lets you chat with your PDFs and documents effortlessly. Built it to demonstrate a commitment to security, precision, and engineering excellence.
View Projectllm-gen-ai
September 27, 2023 – Present
llm-gen-ai is a research-oriented repository exploring advanced agentic patterns, multi-agent orchestration, and adaptive RAG architectures. It focuses on building autonomous, self-verifying agent systems that handle complex reasoning and collaboration.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards cutting-edge AI/ML research and development, which could indicate a good cultural fit for an innovative and technically driven environment. The diversity of personal projects, from system design readings to deep learning, suggests a broad intellectual curiosity. However, the lack of team-based projects or formal work experience makes it challenging to assess collaboration and interpersonal skills.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-directed learning approach, which is beneficial for operational fit. However, without formal assessment data (English Test, Psychometric Test) or work experience, it is difficult to fully assess communication clarity, teamwork, or stress handling capabilities in a professional setting.