48 hours ago: Resume โ LLM โ Output
Today: Resume โ Embeddings โ ChromaDB โ Semantic Search โ RAG โ Interview Prep โ Docker
Moving past the "LLM wrapper" phase to build a real AI pipeline. Next up: Deployment to let users break it. ๐
#BuildInPublic#RAG#AIEngineering
One month into my AI Systems Evaluation internship at AirDawg Labs ๐
Been working on AI agent evaluations, benchmarking, debugging repos, improving task instructions & tests, and learning a lot about how AI systems actually perform on real SWE tasks.
Recently got placed at TCS (joining pending), but eventually want to move into a good product-based company.
Confused where to grind โ DSA, development/tech stack, or something else considering the current market.
Would appreciate guidance from people who've been through this.
Last few days: shipped 2 AI take-home assignments, built LLM-powered document analysis pipelines, wrestled with APIs & prompt engineering, and kept sending job applications. Small steps, consistent progress. ๐
#AI#SoftwareEngineering#OpenToWork#LLM
@karanveer04 Hi Karan, I'm a 2026 NIT Hamirpur graduate with hands-on experience in React.js, Node.js, Express, MongoDB, and full-stack development. Built and deployed multiple projects. Interested in this Software Engineer role. Please let me know how I can proceed.
Feeling disappointed with the job market ๐
Grinding daily, building skills, yet opportunities feel scarce. Still searching and staying persistent.
Any advice from experienced folks or recruiters would mean a lot. Open to connect.
#JobSearch#OpenToWork#Hiring#TechJobs