I am a dedicated Computer Engineering student at Fr. Conceicao Rodrigues College of Engineering with strong experience building production-grade, AI-driven applications within the healthcare, education, and logistics sectors[cite: 2]. I specialize in bridging full-stack software architectures with productionalized Generative AI engineering[cite: 2].
- Software Engineering: Proficient in designing reliable systems using full-stack frameworks, robust databases, and web automation strategies[cite: 2].
- AI/ML Expertise: Skilled in constructing production-ready RAG pipelines, deploying agentic frameworks, optimizing vector searches, and custom model applications[cite: 2].
- Product Mindset: Committed to delivering highly resilient, impactful solutions with zero-downtime orchestration and intuitive user metrics[cite: 2].
Open To: Full-time Software Engineering roles, Generative AI developer opportunities, Core Backend positions, and Open Source contributions.
| Domain | Proficiency | Details |
|---|---|---|
| Generative AI & RAG | Advanced | LangChain, RAG pipelines, LLM APIs, Prompt Engineering, Agentic AI, Gemini API[cite: 2] |
| Vector Search & Storage | Advanced | High-dimensional document indexing, query routing, Pinecone DB[cite: 2] |
| Deep Learning | Intermediate | PyTorch framework execution, Hugging Face models, RNN/LSTM sequence architecture[cite: 2] |
📚 Vidya: AI Academic Ecosystem
A RAG-powered CBSE tutoring platform designed to handle thousands of educational materials with extreme resilience and multi-role clarity[cite: 2].
| Metric | Details |
|---|---|
| Stack | Python, LangChain, Pinecone DB, FastAPI, React, Firebase[cite: 2] |
| Scale | Fully indexes and surfaces data over 50,000+ educational documents[cite: 2] |
| Performance | Integrated automated failover between Gemini and Groq for 100% platform uptime[cite: 2] |
| Security | Firebase RBAC integrations ensuring secure, multi-role dashboard controls (student/parent)[cite: 2] |
| Impact | Engineered the COMPASS Framework using Knowledge Graphs for adaptive mastery-sequencing and grading[cite: 2] |
Repository: https://github.com/Palash-oss/Vidya
🤖 GitHub Automation Bot
A production-shaped GitHub repository automation pipeline designed to orchestrate webhook actions securely and dynamically[cite: 2].
| Metric | Details |
|---|---|
| Stack | Next.js 14, Auth.js, Prisma, PostgreSQL, Octokit, Slack API, Vercel[cite: 2] |
| Scale | Dynamically provisions standalone webhooks per connected repository via OAuth[cite: 2] |
| Performance | Built-in retry sweep architecture designed for resolving failed action logs instantly[cite: 2] |
| Security | Webhook ingestion secured by deliveryId idempotency and cryptographic signature verification[cite: 2] |
| Impact | Automates rule-driven actions for labels, comments, and real-time Slack notifications[cite: 2] |
Repository: https://github.com/Palash-oss/github-automation-bot
🌱 EcoKernel: AI-Powered Green Supply Chain Optimizer
An intelligent logistics optimization engine leveraging deep sequence networks and mathematical models to minimize ecological damage and operating costs[cite: 2].
| Metric | Details |
|---|---|
| Stack | Python, PyTorch, RNN/LSTM, Multi-Objective Optimization, React, Tailwind, FastAPI[cite: 2] |
| Scale | Processes real-time multi-variable shipping and carbon variables simultaneously[cite: 2] |
| Performance | Dynamic React dashboard visualizes Pareto Front patterns for real-time cost trade-offs[cite: 2] |
| Security | Structured REST API layer with isolated environment parameters[cite: 2] |
| Impact | Leveraged Multi-Objective Optimization to cut structural logistics empty miles by ~35%[cite: 2] |
Repository: https://github.com/Palash-oss/EcoKernel
2023 — 2027[cite: 2]
- Maintained an academic track record with a 8.4/10 CGPA[cite: 2].
- Engineered zero-downtime multi-LLM integrations across major academic and logistics optimization frameworks[cite: 2].
- Built fully production-shaped webhook ingestion pipelines utilizing secure cryptographic signatures and OAuth[cite: 2].
Python FastAPI React PostgreSQL LangChain Pinecone DB[cite: 2]
| Recognition | Details |
|---|---|
| Finalist | Bit N Build Hackathon (2025)[cite: 2] |
learning:
- "Advanced Agentic AI Orchestration and Multi-Agent Mesh systems"
- "Deep Performance tuning within Vector DB embedding layers"
building:
- "Production-scale RAG implementations with unified orchestration models"
exploring:
- "Enterprise multi-objective optimization algorithms using custom PyTorch matrices"
openTo:
- "Collaborating on Core Backend & open-source Generative AI frameworks"