Mech Engineer who fell into AI and never looked back 🔩→🤖 | Building with PINNs, LLMs & data | SRM IST
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Campus_OS
March 29, 2026 – Present
CampusOS replaces 6+ campus portals with a single autonomous AI that registers for events, files grievances, reserves lab equipment, generates documents, finds research papers, and proactively alerts students — all without being asked. Powered by NVIDIA NIM Nemotron, FAISS RAG, and a 5-step autonomy loop across 8 specialist agents.
View ProjectMarine_Biodiversity_Ecosystem
March 11, 2026 – Present
Real-time Indicator species detection & tracking using YOLOv8s | mAP=95.1% | M.Tech Data Science | SRM Institute
View ProjectSchneider-AI-Code-Reviewer
February 19, 2026 – Present
VSCode extension that analyzes code against 558 Schneider Electric standards. Auto-fixes violations in one click across 7 languages (Python, JS, Java, C, C++, TS, ST). Triple AI fallback (GPT-4 → Gemini → Ollama). Improves code quality from 35/100 to 91/100 in <20 seconds. Schneider_Electric_Hackathon - 2026
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards innovation and building practical solutions, as evidenced by projects like 'Schneider-AI-Code-Reviewer' and 'Campus_OS'. The diverse range of personal projects, including AI-driven tools and environmental monitoring ('XRayEarth', 'Marine_Biodiversity_Ecosystem'), suggests a curious and adaptable individual. While the target role is 'Data', many projects align well with data science, machine learning, and AI engineering aspects. The candidate's focus on creating impactful, autonomous systems indicates a potential fit for dynamic and forward-thinking teams. However, the lack of team-based project descriptions or professional experience makes it difficult to assess collaboration and traditional corporate cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an innovative and proactive approach to problem-solving, particularly with the Schneider-AI-Code-Reviewer and Campus_OS projects. The breadth of personal projects indicates self-motivation and a strong drive for learning and application. However, without psychometric test results or interview data, a comprehensive assessment of soft skills like teamwork, stress handling, and communication clarity in a professional setting is not possible.