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Open to internships · AI/ML · Backend · Research

ANIL
VISHWA-
KARMA

I build intelligent systems using Machine Learning, Generative AI, RAG, FastAPI, and MongoDB. My work spans research assistants, crop disease detection, and scalable backend APIs for real-world data workflows.

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Python FastAPI RAG ChromaDB OpenCV MongoDB Generative AI
3+
Highlighted Projects
250M+
Academic Papers Covered
1+
Years Internship Exp.
15+
Tools & Technologies
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Professional Summary

Computer Science undergraduate at IPS Academy, Institute of Engineering & Science, Indore, specialising in Artificial Intelligence and Machine Learning. Experienced in building AI-powered applications, semantic search systems, and backend services using Python, FastAPI, MongoDB, SQL, NumPy, Pandas, Scikit-Learn, Google Agent Development Kit, and generative AI tooling. Passionate about turning data into useful products through research-oriented engineering and clean, scalable software design.

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Work Experience

InfoBeans Foundation
Software Developer Trainee
2024 – 2025 · Indore, India
Data Processing & Clean Architecture
  • Built data ingestion, transformation, and retrieval systems using SQL and MongoDB.
  • Improved proficiency in data modelling and efficient query optimisation for large datasets.
  • Applied modular, clean architecture principles across collaborative projects.
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Featured Projects

OpenResearch
🔬
Python · Streamlit · LangChain · ChromaDB · Hugging Face
AI-Powered Academic Assistant
  • Built a RAG web app for querying a corpus of over 250 million peer-reviewed papers.
  • Integrated Semantic Scholar API with LangChain to fetch, chunk, and process abstracts automatically.
  • Used MiniLM-L6-v2 embeddings and local ChromaDB indexing — zero API cost.
  • Reduced hallucinations with strict prompt constraints and top-k retrieved context chunks.
Crop Disease Detection
🌿
Python · OpenCV · Scikit-Learn · XGBoost
ML for Agricultural Diagnosis
  • Designed an image-based disease classification system for early infection detection.
  • Engineered colour, texture, and morphological features from leaf images.
  • Benchmarked Random Forest and XGBoost using cross-validation and hyperparameter tuning.
Data API Backend
⚡
Python · FastAPI · MongoDB · JWT
Scalable Backend for Structured Data
  • Built a high-performance data ingestion and processing API with CRUD, filtering, and pagination.
  • Implemented JWT authentication and role-based access control for secure workflows.
  • Structured the backend using modular clean architecture for maintainability and scale.
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Skills & Tech Stack

Programming
PythonJava SQLMongoDB
AI / ML
Machine LearningGenerative AI RAGPrompt Engineering
Frameworks
FastAPIScikit-Learn NumPyPandas
Data & Vector Stack
ChromaDBHugging Face LangChainSemantic Scholar API
Tools
GitGitHub VS CodeJupyterGoogle Colab
Cloud / Workflow
Google ADKREST APIs Data ModellingQuery Optimisation
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Education & Achievements

B.Tech
IPS Academy, IES
Information Technology
Oct 2023 – Present
Indore, MP
Class XII
CBSE · Science (PCM)
73% · June 2023
Class X
CBSE · 92% · June 2021
Shajapur, MP
Highlights
State-Level Baseball Player (2021)
1st Prize — Chess Competition (2023)
Certifications
  • Introduction to Generative AI — Google Cloud (July 2025)
  • Introduction to Large Language Models — Google Cloud (July 2025)
  • AWS Cloud Practitioner Essentials — Amazon Web Services
  • Web Development — 1Stop AI (August 2024)
  • MongoDB Node.js Developer — MongoDB University
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Let's Connect

Open to AI/ML internships, backend development roles, research projects, and product work where data, automation, and intelligent systems matter.

anil.vishwakarma.it@gmail.com +91 8889544744 LinkedIn ↗ GitHub ↗