Sumit Mishra

Entry-level AI Engineer

Bhopal, Madhya Pradesh, India 1+ yrs exp 88 · Excellent

About

Entry-level AI Engineer with hands-on experience building Generative AI and LLM-powered applications using Python, RAG, LangChain, FastAPI, FAISS, PostgreSQL, and Gemini. Experienced in developing end-to-end AI workflows and multimodal applications for contextual question answering and information retrieval.

Skills & Expertise (31)

LLMs Intermediate

8.0/10

Years Exp

Generative AI Intermediate

8.0/10

Years Exp

Python Intermediate

8.0/10

Years Exp

LangChain Intermediate

7.5/10

Years Exp

Embeddings Intermediate

7.5/10

Years Exp

RAG Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

GitHub Intermediate

7.0/10

Years Exp

SQL Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Power BI Intermediate

7.0/10

Years Exp

Postgresql Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

REST APIs Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

NLP Intermediate

7.0/10

Years Exp

Prompt Engineering Intermediate

7.0/10

Years Exp

Gradient Boosting Intermediate

6.5/10

Years Exp

Hyperparameter Tuning Intermediate

6.5/10

Years Exp

Model Evaluation Intermediate

6.5/10

Years Exp

Feature Selection Intermediate

6.5/10

Years Exp

Feature Engineering Intermediate

6.5/10

Years Exp

Random Forest Intermediate

6.5/10

Years Exp

Regression Intermediate

6.5/10

Years Exp

FAISS Intermediate

6.5/10

Years Exp

FastAPI Intermediate

6.5/10

Years Exp

Docker Intermediate

6.0/10

Years Exp

Model Deployment Intermediate

6.0/10

Years Exp

Streamlit Intermediate

6.0/10

Years Exp

Gemini Intermediate

6.0/10

Years Exp

DAX Intermediate

6.0/10

Years Exp

Work Experience

Data Analyst & AI Trainee

AlmaBetter

Mar 2025 - Present

Built and worked on end-to-end AI and analytics projects involving Generative AI, RAG, Machine Learning, data analysis, and visualization. Developed AI applications using LLMs, LangChain, embeddings, and vector retrieval for practical AI workflows. Applied Python, SQL, Excel, and Power BI for data cleaning, exploratory analysis, reporting, and dashboard development. Applied feature engineering, feature selection, model evaluation, and hyperparameter tuning to supervised ML solutions.