03.Brugumalla Mahendra achari

Entry-level AI/ML Engineer

Bengaluru, India 0+ yrs exp 82 · Excellent

About

Entry-level AI/ML Engineer seeking AI Engineer, Machine Learning Engineer, or Generative AI Engineer roles. Hands-on experience developing AI applications using Python, Machine Learning, NLP, LangChain, LangGraph, LLMs, Retrieval-Augmented Generation (RAG), FastAPI, and Hugging Face. Passionate about building scalable, production-ready AI solutions that solve real-world business problems.

Skills & Expertise (36)

Python Advanced

9.0/10

Years Exp

LangChain Advanced

8.5/10

Years Exp

Hugging Face Advanced

8.5/10

Years Exp

Prompt Engineering Advanced

8.5/10

Years Exp

Embeddings Advanced

8.5/10

Years Exp

RAG Advanced

8.5/10

Years Exp

LLMs Advanced

8.5/10

Years Exp

AI Agents Advanced

8.0/10

Years Exp

FastAPI Advanced

8.0/10

Years Exp

Jupyter Notebook Advanced

8.0/10

Years Exp

VS Code Advanced

8.0/10

Years Exp

GitHub Advanced

8.0/10

Years Exp

Git Advanced

8.0/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

NumPy Advanced

8.0/10

Years Exp

scikit-learn Advanced

8.0/10

Years Exp

FAISS Advanced

8.0/10

Years Exp

Semantic Search Advanced

8.0/10

Years Exp

Vector Databases Advanced

8.0/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Pydantic Intermediate

7.5/10

Years Exp

EDA Intermediate

7.5/10

Years Exp

Seaborn Intermediate

7.5/10

Years Exp

LangGraph Intermediate

7.5/10

Years Exp

Matplotlib Intermediate

7.5/10

Years Exp

Classification Intermediate

7.5/10

Years Exp

Regression Intermediate

7.5/10

Years Exp

MS Excel Intermediate

7.0/10

Years Exp

SpaCy Intermediate

7.0/10

Years Exp

NLTK Intermediate

7.0/10

Years Exp

Model Evaluation Intermediate

7.0/10

Years Exp

Feature Engineering Intermediate

7.0/10

Years Exp

Random Forest Intermediate

7.0/10

Years Exp

Decision Trees Intermediate

7.0/10

Years Exp

SQL Intermediate

7.0/10

Years Exp

Statistical Analysis Intermediate

6.5/10

Years Exp

Work Experience

AI/ML Engineer Intern

PySpiders

Nov 2025 - Present

Developed and shipped 3 production-style AI applications in Python spanning NLP and Generative AI, including a multi-agent RAG assistant. Built a RAG pipeline using LangChain, FAISS, and Google/OpenAI embeddings, retrieving the top-4 most relevant chunks per query with an anti-hallucination system prompt. Replaced fixed-size text splitting with semantic (gradient-based) chunking, improving topic coherence across chunks before indexing. Integrated Hugging Face models with FastAPI to build AI-powered APIs supporting 3-way concurrent async tool execution (retrieval, calculation, web search).