
Tech builder. Hackathon junkie. Innovation enthusiast🔥
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
severstal-steel-defect-detection
April 28, 2026 – Present
Computer vision notebooks for Severstal steel defect detection and segmentation experiments.
View ProjectSentinel-Frontend
January 29, 2026 – Present
Privacy-first employee wellbeing analytics frontend with burnout detection, talent discovery, team health dashboards, and 3-agent AI chat.
View ProjectSentinel-backend
January 29, 2026 – Present
FastAPI backend for Sentinel with privacy-first behavioral analytics, burnout risk scoring, network analysis, and AI orchestration.
View ProjectGenai
September 21, 2025 – September 21, 2025
Python experiments with generative AI workflows, prompts, and LLM application patterns.
View Projectyaatra
September 10, 2025 – October 9, 2025
Travel web app prototype with a deployed TypeScript frontend.
View ProjectMATLAB_CHALLENGE_203
August 17, 2025 – August 20, 2025
MATLAB challenge workspace with numerical computing and problem-solving experiments.
View Projectcontent-cruise
June 27, 2025 – July 17, 2025
Python project for content automation, generation, and social media workflow experiments.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal exploration and experimentation across various domains, including AI, ML, and web development. This suggests a self-starter who is curious and driven by personal interest. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or alignment with a structured team environment. The projects are diverse but lack depth in specific data science applications beyond initial experimentation, which might indicate a broad but not deeply specialized skill set for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive, experimental approach to learning and applying new technologies.