I am a passionate coder, interested in AI and ML.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCP_PLaywright_Use_Logined_Browser
June 15, 2026 – Present
Persistent-browser MCP server for AI agents using Playwright and Chromium, with reusable logins, cookies, and sessions.
View ProjectReaderCopilot
June 13, 2026 – Present
AI study co-pilot for NCERT textbooks: read PDFs, select passages, save highlights, and get grounded answers from the exact page you're viewing.
View ProjectNCERT-Study-Guide
May 7, 2026 – Present
Local NCERT RAG chatbot: ingests Books/text.txt, chunks + embeds with SentenceTransformers, stores in Chroma, retrieves top matches, and answers via Groq Llama 3.3 70B in a Streamlit chat UI.
View ProjectManim-GUI
May 1, 2026 – Present
A web based app which is made for creating manim animations in a user friendly drag and drop manner.
View ProjectSRE-Env
April 25, 2026 – Present
An OpenEnv-compatible reinforcement learning environment where LLM agents act as Site Reliability Engineers (SREs). Agents SSH into broken Linux servers, diagnose faults using shell commands, and receive dense reward signals based on verified system state restoration, not text generation.
View ProjectJob-Scheduler-Env
April 24, 2026 – Present
A openenv based Environment to train llms to manage jobs on limited resources based on urgency, importance and arrival time.
View ProjectEPL-Pipeline-Doctor-Env
April 21, 2026 – Present
EPL-Pipeline-Doctor-Env — GitHub repository
View ProjectWordle_Environment
April 14, 2026 – Present
Use the Open_Env Library to make a wordle environment for training RL agents, NNs or LLMs. Has both numerical format for algorithm training and text_observation format for llms. Has the classic state, step() and reset() api endpoints
View ProjectShellman
February 27, 2026 – Present
A Terminal User Interface (TUI) based file manager, cross platform, build using textual and python
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards personal, innovative, and research-oriented work, particularly in AI/ML and reinforcement learning. This suggests a fit for roles that value independent problem-solving and exploration. However, the lack of team-based or collaborative project descriptions makes it difficult to assess broader cultural fit aspects like teamwork or stakeholder communication. The projects are diverse in their application of AI/ML, but heavily lean into environment creation and agent training, which might be a niche fit depending on the specific team's needs.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.