Hi, I'm Saksham
Currently in the 6th Sem of B.Tech CSE with DS and AI at SRMU Lucknow. I'm most excited about Agentic AI, LLM engineering, and MLOps — the parts most students skip because they're harder than Kaggle. Every project here started as "wouldn't it be cool if..." and ended up actually working. LUMIQ started as a weekend experiment. FlowCraft started because I was frustrated with single-prompt AI. I don't just study the field — I build in it.
Here are a few of my favourites — all live, all open source.
Zero-backend, browser-native AI analytics powered by Groq + Llama 3.3 70B. Upload any CSV and talk to your data in plain English. 7 features: natural language filtering, Crystal Ball forecasting with R² confidence bands, anomaly detection via Z-score, Pearson correlation heatmap, Decision Brief generator, Scenario Forge, and Data DNA profiler. Every chart hand-crafted in pure SVG — zero external UI libraries.
Full-stack SaaS that chains AI stages into intelligent content pipelines. 4 templates × 5 writing personas — each stage feeds output into the next automatically. Full SaaS infra: Clerk auth, PostgreSQL + Prisma, Stripe payments, credit system, session history. 25 chained prompts, ~500 tokens/sec via Groq.
Autonomous multi-agent HR system with LangChain. Handles full recruitment pipelines — candidate screening, evaluation, communication — with agent orchestration and task decomposition.
Production-grade MLOps monitoring using KS-test and PSI. Tracks accuracy, precision, recall, and F1 over time with automated alerting. Differentiates data drift from concept drift.
Full-stack inventory platform — FastAPI, async PostgreSQL, React, JWT auth, Docker. Embedded AI chatbot powered by Anthropic + Groq. Real production architecture, not a tutorial clone.
LLM-powered AI copilot with modular tool/plugin architecture. Context-aware multi-turn assistance with clean separation of prompt engineering, tool orchestration, and response formatting.
RESTful API for groundwater data collection and analysis. Built for civic tech with async FastAPI and clean REST endpoint design.
Building in public, one commit at a time.
- Independently designed, built, and shipped 7 AI/ML projects spanning agentic systems, MLOps pipelines, REST APIs, SaaS apps, and full-stack web applications — all publicly available on GitHub.
- Applied production ML engineering practices including modular architecture, drift monitoring, and agent orchestration — moving beyond notebook-level experimentation.
- Explored cutting-edge AI tooling including LangChain, OpenAI APIs, RAG systems, and multi-agent frameworks through hands-on project implementation.
Open to ML Engineer, AI Developer, and Data Scientist roles — internship or full-time. Just shoot me a mail at sakshamsrivastava7000@gmail.com or reach out on LinkedIn. Available immediately.