ML | NLP | DL | LLM | GenAI | Agentic AI | Applied AI Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sentiment_Analysis
February 13, 2026 – Present
Made for flytbase customer sentiment analysis
View Projectaccident-detection-mvp
January 10, 2026 – Present
accident-detection-mvp — GitHub repository
View Projectguardian-alert-system
January 10, 2026 – Present
guardian-alert-system — GitHub repository
View ProjectAssignment-DS-Intern-Pivotchain-Solution-Technologies-Pvt-Ltd
December 5, 2025 – December 5, 2025
Assignment-DS-Intern-Pivotchain-Solution-Technologies-Pvt-Ltd — GitHub repository
View ProjectProject_Samarth_Prototype_Bharat_Fellowship
November 1, 2025 – November 1, 2025
Project_Samarth_Prototype_Bharat_Fellowship — GitHub repository
View ProjectAgentic_Wrapper
September 29, 2025 – November 17, 2025
Agentic Wrapper is an end-to-end, from-scratch AI framework that combines chat, document retrieval, agentic reasoning, and voice transcription into a modular system. Designed as an MVP, it demonstrates how advanced AI features - similar in capability to systems like ChatGPT or Perplexity - can be implemented and orchestrated with fully custom logic
View Projectaccident-detection-ai
August 31, 2025 – Present
An end to end AI-powered accident detection system that processes live CCTV or dashcam feeds to identify collisions and hazards in real-time and send SOS to the nearest Emergency Response Centre.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal AI/ML projects, indicating a strong passion for the field. This aligns well with a research-oriented role. However, the lack of team-based projects or diverse technology exposure beyond Python and basic web technologies limits the assessment of broader cultural fit and adaptability in varied team environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.