I build AI that ships, then I teach it.

RAG.NextUpgrad

Production RAG with hybrid dense + BM25 retrieval and a confidence gate that blocks low-evidence answers.

FineTune Studio

End-to-end QLoRA fine-tuning with live loss streaming and base-vs-fine-tuned evaluation.

DocuLens AI

Document intelligence that extracts, compares and compliance-checks invoices and contracts.

FaceVision

Browser-only face detection, recognition and liveness checks with ONNX Runtime Web.

OCR & Speech Workspace

Page-batched PDF OCR, live speech-to-text and document-scoped RAG chat with citations.

Vaidya AI

An LLM-powered healthcare chatbot for conversational patient assistance.

Product

SCULT INDIA & Studio CRM

An AI-first agency platform with an internal CRM for a 14-member team.

Product

Super Digital Library

A digital library with a scalable architecture for large content collections.

Product

Annapurna

An NGO donation platform with a streamlined giving and outreach flow.

The library

All 70 guides. Pick a topic.

What is machine learning, and what is it actually used for? The three types, how it differs from AI and deep learning, and real applications

14 questions · updated 2026-09-24

What is a vector database? How vector search works, when you need one, and FAISS vs pgvector vs Qdrant vs Pinecone

What is prompt engineering? Techniques that work, system prompts, prompt injection, and whether it is still a job

14 questions · updated 2026-09-24

What is an LLM? Large language models explained: tokens, context windows, parameters, open vs closed models, and what they cost to run

What is vibe coding? AI coding assistants explained, Cursor vs Copilot vs Claude Code, when it works, when it fails, and how to use it without losing your skills

What is computer vision? How machines see images, the classic pipeline versus deep learning, and where it's used, from cameras to medical scans

AI final year project ideas for CS, IT, BCA and MCA students: 25 projects that are buildable, demonstrable and get you interviews

BCA vs B.Tech for an AI career: what each degree actually gives you, what it lacks, and how to make either one work, from a BCA who did

Best free AI coding assistants for developers and students: GitHub Copilot, Claude Code, Cursor, Codeium and Gemini Code Assist compared

Data analyst vs machine learning engineer vs AI engineer: what each job actually does, the skill overlap, and which path fits you

Dev.to vs Hashnode vs Medium vs your own blog: where should a developer actually write in 2026?

Do you actually need a GPU for AI? A plain VRAM and hardware guide for students: what runs on a laptop, what needs to be rented, and what needs neither

FastAPI for AI applications: async endpoints for LLM calls, dependency injection, streaming responses, and the patterns that hold up in production

Free AI tools every CS student should learn in 2026: coding assistants, models, notebooks, deployment and the ones I built, with no signup

From a BCA in Kanpur to GenAI engineer: how I got here, what actually mattered, and what I would tell my first-year self

4 questions · updated 2026-09-24

GenAI and LLM interview questions with answers: RAG, fine-tuning, prompting, agents, evaluation and system design, from both sides of the table

Walking a room through evaluation criteria

Hackathon judging criteria and a rubric organisers can copy: how judges score, how to brief a panel, how to break ties, and how to judge fairly in 15 minutes per team

Hackathon pitch deck template: the seven slides, the three-minute script, demo rules and what judges score, from three first prizes and the judging table

Hackathon project ideas that win: 40 AI and software ideas for students, with the hard part of each, from three first prizes

How does face recognition work? Detection, embeddings, thresholds and liveness, from building FaceVision

Requirements gathering and user flows, on stage

How does OCR work? From Tesseract to document AI: turning scanned PDFs and invoices into searchable, structured text

How does speech to text work? Whisper, real-time transcription architecture, Indian languages, and building a live transcription feature

How much does an LLM API cost? Token pricing explained, a cost model you can run, and 12 ways to cut the bill without cutting quality

14 questions · updated 2026-09-24

How to become an AI engineer in India: the GenAI engineer roadmap, skills, projects and salary reality, from a BCA to shipping five production apps

How to build a developer portfolio website: what to include, what to cut, free hosting, and the three-second test recruiters actually apply

How to build an AI app and deploy it for free: architecture, stack, hosting, costs and the checklist that survives real users

How to evaluate a RAG system: recall, faithfulness, RAGAS, building a test set and the metrics that actually predict user complaints

23 questions · updated 2026-09-24

How to fine-tune an LLM: LoRA, QLoRA, datasets and evaluation, from building a fine-tuning platform

How to get an AI internship as a student in India: where to apply, the portfolio that gets replies, cold emails that work, and what to do when your college has no placements

How to give a guest lecture in college: preparing a technical talk, handling Q&A, and becoming a speaker colleges invite back

How to improve your public speaking for tech talks: structure, nerves, filler words, and the practice that actually moves the needle

How to invite a guest speaker to your college: the email, the one-pager, fees, logistics and what makes a speaker say yes

How to learn Python for AI in 2026: the roadmap from zero to shipping an LLM app, what to skip, and the projects that prove it

7 questions · updated 2026-09-24

How to negotiate your first tech job offer in India: what freshers can actually negotiate, the script, and the mistakes that cost the most

At an Integral Startup Foundation hackathon

How to participate in your first hackathon: where to find hackathons in India, how to form a team, what to prepare, and what to expect in 24 to 48 hours

How to prepare a dataset for fine-tuning an LLM: formats, chat templates, how much data, synthetic data, validation and the checklist before you train

How to start a tech community on campus: from five friends to 500 members, the sessions, the structure and the mistakes, from building TechVerse Enclave

How to structure an LLM project in Python: folder layout, config, prompts as files, evals, and the patterns that survive past the notebook

16 questions · updated 2026-09-24

How to win a hackathon: what judges score, how to pick an idea, and the demo that works live, from three first prizes

How to write a tech resume as a fresher in India: the one-page format, what to put instead of a skills wall, and a free resume website that beats a PDF

Hybrid search and reranking in RAG: BM25 plus embeddings, reciprocal rank fusion, cross-encoders, and why this pair fixes most bad answers

Is AI a good career in India? Roles, what hiring actually looks like, what fresher paths exist, and how to get in without an IIT tag

LoRA vs QLoRA vs full fine-tuning: memory, speed, quality and cost compared, with the settings that matter and how to fine-tune on a free Colab GPU

7 questions · updated 2026-09-24

Mentoring students remotely and internationally: what a mentor actually does, how to find one, and how to run a mentorship program across time zones

5 questions · updated 2026-09-24

15 mini AI project ideas you can actually finish in a weekend: small, real, and worth posting about

Personal branding for developers and CS students: building in public, LinkedIn and GitHub that get you hired, and speaking your way into a reputation

RAG vs fine-tuning vs prompt engineering: which one your problem actually needs, with a decision tree and real costs

Redis and caching strategies for LLM apps: exact-match caching, semantic caching, and what to cache when every model call costs money and time

Smart India Hackathon guide: how SIH works, how to register through your college, choose a problem statement, clear the internal round and present to ministry judges

System design for AI applications: how to answer 'design a RAG system' or 'design an AI agent' in an interview, and how to actually build one

7 questions · updated 2026-09-24

Turning a student project into a startup: the real signal to look for, what changes, and what most student founders get wrong first

ChatGPT, Claude, Gemini and Copilot: what each one actually is, who makes it, what it's for, and how to tell them apart

What are embeddings in AI? Text embeddings, vector similarity, choosing a model, and how embeddings power RAG and semantic search

What are vision-language models and multimodal AI? How VLMs see images, what they can and cannot do, and building student projects with them

6 questions · updated 2026-09-24

What three hackathon wins and one loss taught me: KrishGyan at IIT Roorkee, BrandHive at CSJMU, Annapurna at MeetKats, and STROT

What is agentic RAG and Graph RAG? Query rewriting, multi-step retrieval, knowledge graphs, and when a plain RAG pipeline is not enough

What is an AI agent? Agentic AI explained: tools, function calling, MCP, frameworks, and why most agents fail

What is chunking in RAG? Chunk size, overlap, structure-aware splitting and the experiments that actually decide retrieval quality

What is a context window, and what is context engineering? Token limits, why bigger isn't always better, and deciding what a model actually sees

What is edge AI and on-device AI? Running models in the browser and on phones with ONNX Runtime, WebGPU and quantization, from building a browser-only face recognition system

What is function calling (tool use) in LLMs? How models call your code, structured outputs, and building a reliable tool-using agent

What is generative AI, and where can you actually learn it for free? A clear definition and a vetted list of free courses and certificates

What is MCP, the Model Context Protocol? How MCP servers work, MCP vs function calling vs APIs, and how to build one, from running a public server

What is object detection? YOLO explained, detection vs classification vs segmentation, training on your own data, and running it in real time on a budget GPU

What does open source mean for AI models? Open-weight vs open-source, licenses that actually matter, and how to contribute

What is overfitting in machine learning, and how do you actually prevent it? Train/validation/test splits, regularization, and catching it early

What is quantization in LLMs? 4-bit and 8-bit models, GGUF vs AWQ vs GPTQ, quality loss, and running big models on small hardware

21 questions · updated 2026-09-24

What is RAG in AI? Retrieval-augmented generation, explained from a production system

What is RLHF, instruction tuning and DPO? How base models become assistants, what alignment training actually does, and when a small team should use it

What is vLLM? vLLM vs Ollama vs llama.cpp vs SGLang, and how to actually serve an LLM in production