ML Engineer · SanDisk (EDA automation) · MTech DS, VIT Vellore
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Sandisk
Data Scientist
June 20, 2026 – Present
vastra-erp
June 20, 2026 – Present
Apparel retail ERP — variant inventory, GST billing, customer dues ledger. FastAPI + Next.js.
View ProjectSceneForge
June 18, 2026 – Present
Local images to navigable 3D Gaussian Splat scene. Free, self-hosted, CPU-capable (COLMAP + OpenSplat). No API keys.
View ProjectRAGForge
June 18, 2026 – Present
Production RAG system — C++ HNSW+BM25+MMR engine, pybind11, FastAPI, GitHub Pages UI
View Projectquickbite-crisis-recovery-analysis
June 17, 2026 – Present
End-to-end data analysis of a food delivery startup crisis — customer retention, delivery SLA, sentiment, VIP segmentation & ROI recovery model. Python + Interactive HTML Dashboard.
View Projectmmr-retrieval-lab
June 17, 2026 – Present
Maximal Marginal Relevance for RAG: vectorized implementation, measured relevance/diversity tradeoffs, lambda sweep, and an interactive neo-brutalist demo.
View Projectmakdown_to_pdf_downloader
May 4, 2025 – May 4, 2025
provide input url of markdown and it will be downloaded as .pdf
View Projectmarket-analysis-wizard
February 23, 2025 – Present
Multi-agent market intelligence tool — LangGraph 6-node pipeline, real-time SSE streaming, TAM/SAM/SOM, competitor analysis, SWOT. FastAPI + Claude + Tavily.
View Projectdripify-workflow-
August 2, 2024 – August 2, 2024
LinkedIn outreach automation workflow using Dripify API + Python
View ProjectKnow-Your-Website
April 25, 2024 – Present
Autonomous web security audit agent — 7 inspection modules, real-time SSE streaming, LLM-synthesised report. FastAPI + React.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards innovative and complex personal projects, many of which align with cutting-edge AI/ML applications. This indicates a proactive and curious individual who is likely to thrive in a dynamic, research-oriented, or product-focused environment. The breadth of technologies used (Python, C++, JavaScript, Dockerfile) suggests adaptability and a willingness to explore different tools. The target role of 'Data Scientist' aligns well with the candidate's project focus on data analysis, machine learning, and AI systems. However, the lack of team-based projects or open-source contributions makes it difficult to assess collaboration style.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of tackling complex problems independently. The diversity of personal projects suggests strong problem-solving skills and a continuous learning mindset. However, without specific psychometric or English test scores, a detailed assessment of communication, teamwork, and stress handling is not possible.