Yash Sharma.
MCA final-year AI/ML Engineer building production NLP, RAG, and GenAI systems — with 3 years of Customer Success experience turning real user problems into useful software.
The Engineer
Behind the Model.
I'm an early-career AI/ML Engineer who builds systems that actually run in production. Not prototypes that impress in demos — real services with latency SLAs, test coverage, CI/CD pipelines, and monitoring dashboards.
At Celebal Technologies I owned the entire NLP pipeline end-to-end — raw data through feature engineering, model training and evaluation, FastAPI deployment, CI/CD automation, and Streamlit observability. That's the standard I hold every project to.
Currently in the final year of my MCA while actively building AI-native applications. My earlier Customer Success experience helps me understand support workflows, adoption barriers, and measurable business outcomes — so I build AI systems for real users, not only model demos.
Professional Track Record.
Data Science Intern
- Built LDA topic modelling across 50,000+ records paired with a Streamlit observability dashboard — collectively reducing manual triage effort by 40%.
- Delivered ownership across the full ML stack — raw data, features, model evaluation, REST API, CI pipeline, and monitoring.
Teammate — Operations
- Maintained 95%+ CSAT consistently, ranking among top performers.
- Reduced repeat cases by 15% through data-driven issue pattern analysis.
Customer Service Representative
- Conducted root-cause analysis of high-frequency issue patterns, reducing repeat contacts by 15% and improving first-contact resolution.
Selected Work.
Customer Inquiry Classifier
Production NLP pipeline classifying support tickets into 7 categories. FastAPI inference, automated tests, CI/CD, and Streamlit observability connect model quality to real support operations.
AI Trip Planner
GenAI itinerary platform built during the Google Gen AI Exchange Hackathon. Multi-step prompt orchestration, Gemini/Vertex AI integration, real-time data fusion, and streaming for an interactive planning experience.
DocuMind AI Copilot
Document copilot using HyDE plus BM25/FAISS hybrid retrieval, cross-encoder reranking, citations, multi-document querying, and SSE streaming through a FastAPI service.
Adaptive Diagnostic Engine
LLM-powered IT support automation agent with adaptive questioning, context memory, and multi-step resolution flows. Browser-based agentic architecture for real-world diagnostic workflows.
Trace-RAG System
Production-focused full-stack RAG system with hybrid retrieval, citations, traces, evaluation tooling, FastAPI, and a Next.js frontend. Built to make answer quality and retrieval behavior inspectable.
House Price Predictor
Explainable tabular regression project comparing Ridge, Random Forest, and XGBoost models, with feature analysis and SHAP explanations for more transparent predictions.
Technical Arsenal.
Core ML
Engineering
LLM & GenAI
Awards & Recognition.
Google Gen AI Exchange Hackathon 2025
Built the GenAI Trip Planner with Gemini and Vertex AI. The project earned a top national placement in the Google Gen AI Exchange Hackathon and demonstrated real-time LLM streaming, prompt orchestration, and full-stack AI architecture.
Prime AI/ML Batch — Apna College
Intensive program Python, ML, Deep Learning, GenAI, AI Engineering Stack. Practical, project-driven curriculum delivering real-world model deployment skills.
GenAI Mastermind — Outskill
Advanced LLM workflows, AI agents, and automation. Prompt engineering, agentic architectures, and production LLM system design.
Peer Recognition.
Yash delivered more than expected. The NLP pipeline was production-ready on day one — clean code, full test coverage, and latency that surprised the entire team. He thinks like an engineer, not just a data scientist.
What impressed me was his ownership. He didn't wait for instructions — he identified the observability gap, built the dashboard, and improved the deployment pipeline. That's someone who goes well beyond the brief.
Academic Foundation.
Master of Computer Application
Bachelor of Computer Application
Certifications & Programs
Let's Build
Something
Excellent.
I'm actively seeking AI/ML Engineer, NLP/GenAI Engineer, Applied AI, and ML Engineer roles. I bring production ML projects, an MCA final-year foundation, and approximately three years of Customer Success experience that helps me build for adoption and business impact.
If you're building something worth building, I'd like to talk.
Send a Message →