Multi-Agent Research Assistant
A collaborative AI system where multiple specialized agents work together to research, analyze, and synthesize information from diverse sources.
Build custom autonomous agents that can research, analyze, and execute complex tasks with minimal human intervention.
Design and implement Retrieval-Augmented Generation systems for enterprise knowledge management.
Create intelligent conversational interfaces powered by LLMs with context awareness and personality.
Automate repetitive business processes with intelligent agents that learn and adapt over time.
Fine-tune large language models for domain-specific tasks, improving accuracy and reducing costs.
Strategic consulting on AI adoption, architecture decisions, and best practices for your organization.
Understanding your needs, challenges, and goals through a detailed discussion.
Breaking down the project into clear, actionable milestones and deliverables.
Creating a robust system architecture that's scalable and maintainable.
Building in sprints with regular demos and feedback loops.
Rigorous testing to ensure reliability and performance.
Smooth deployment with documentation and ongoing support.
A collaborative AI system where multiple specialized agents work together to research, analyze, and synthesize information from diverse sources.
An AI agent that reviews pull requests, identifies bugs, suggests improvements, and explains code changes in natural language.
AI-powered resume analysis tool that extracts skills, matches job requirements, and provides actionable improvement suggestions.
A framework for building, visualizing, and executing complex agentic workflows with human-in-the-loop capabilities.
Automated system that constructs and maintains knowledge graphs from unstructured documents using LLMs and graph databases.
Real-time voice assistant with wake word detection, natural language understanding, and multi-turn conversation capabilities.
"Aniruddha's work on our multi-agent system was exceptional. He understood our complex requirements and delivered a solution that exceeded expectations."
"Working with Aniruddha was a game-changer for our AI initiatives. His deep knowledge of LLMs and agentic systems helped us automate critical workflows."
"He built a RAG system for our legal documents that saved our team hundreds of hours. Highly recommend for any AI engineering project!"
TechStartup Inc
DataCorp
LegalTech
AI Research Lab
InnovateTech
A deep dive into orchestrating multiple AI agents for complex reasoning tasks...
Read MorePractical tips for building production-ready Retrieval-Augmented Generation systems...
Read MoreAdvanced techniques for getting the most out of large language models...
Read MoreHow to enable AI agents to use external tools effectively...
Read MoreResearch paper exploring optimal agent communication strategies.
In ProgressTechnical deep-dive into performance optimization for retrieval systems.
PublishedBenchmark analysis of different tool-use approaches in AI agents.
PublishedThe backbone of all my AI/ML work. Elegant, powerful, and endlessly extensible.
Building blocks for LLM applications. Essential for any serious AI agent work.
Lightning-fast async APIs. Perfect for deploying ML models to production.
Containerize everything. Consistent environments from dev to prod.
Pinecone, Weaviate, ChromaDB - essential for semantic search and RAG.
Cloud-native deployment with proper scaling and monitoring.
Coffee, meditation, and catching up on AI news.
Most productive coding hours. Building agents and models.
Client calls, code reviews, and team sync-ups.
Quick meal and a walk to reset the mind.
Reading papers, experimenting with new techniques.
Light coding on side projects, then rest.
Runs on approximately 4 cups of coffee per day. Cold brew is the preferred fuel.
Read 50+ research papers on AI/ML in 2023. Always hunting for breakthroughs.
Codes best while listening to lo-fi beats. Music and code share similar patterns.
Contributed to 10+ open source projects. Community-driven development.
Chess and strategy games. Game theory parallels agent design.
Peak productivity hours: 10 PM to 3 AM. The quiet night brings best ideas.
Primary IDE
Version Control
Knowledge Base
Communication
Design
Notes
Terminal
Containers
by Ian Goodfellow
by Martin Kleppmann
by Robert C. Martin
Vaswani et al.
by David Thomas
by Christopher Bishop
Perfect for small projects
For serious AI projects
Tailored solutions
1st place at AI Innovation Challenge 2023 for multi-agent research system.
Combined stars across all open-source projects and contributions.
Dean's List and distinction in Computer Science program.
AI agent project reached #1 on Show HN.
Successfully delivered AI solutions to startups and enterprises.
Monthly readers on technical AI blog posts.
Native
Fluent
Fluent
Learning
Strategic thinking and pattern recognition.
Strategy games and indie puzzlers.
Street photography and nature shots.
Morning jogs to clear the mind.
"The only way to do great work is to love what you do."
Steve Jobs
"Artificial intelligence is the new electricity."
Andrew Ng
"The best way to predict the future is to invent it."
Alan Kay
"Talk is cheap. Show me the code."
Linus Torvalds
Building an AI-powered productivity tool.
Growing open-source presence.
Monthly technical content.
Speaking at local meetups about AI agents and LLMs.
Helping junior developers transition to AI/ML careers.
Maintaining several open-source AI libraries.
Creating tutorials and documentation for AI tools.
Conducting AI workshops for CS students.
Active in LangChain and AI developer communities.
Experimenting with Stable Diffusion and style transfer.
In ProgressPersonalized playlist generator using embeddings.
CompletedAI-assisted market analysis (paper trading only!).
PausedLocal LLM-powered home automation.
In ProgressRAG-based system for summarizing and querying books.
CompletedConversational AI for practicing Japanese.
In ProgressI'd rather ship one excellent feature than ten mediocre ones.
The AI field moves fast. Continuous learning is non-negotiable.
Great products are built by great teams working together.
Deep dive into the problem space. Ask questions. Research.
Break complex problems into smaller, manageable parts.
Build quick prototypes to validate assumptions.
Refine based on feedback. Continuous improvement.
Ship robust solutions with documentation and tests.
Clear explanation of complex topics.
Analytical and creative approach.
Collaborative and supportive.
Efficient and deadline-oriented.
Focused exclusively on AI agents and LLM applications.
Always implementing the latest techniques from papers.
Building systems that scale and perform in real-world scenarios.
Explaining complex AI concepts in simple terms.
Adapting quickly to changing requirements.
This isn't just a jobit's what I love doing.
I'm currently accepting new clients for AI agent development, RAG systems, and LLM consulting.
Response Time: Usually within 24 hours
Let's TalkAI that amplifies human creativity and decision-making, not replaces it.
Powerful AI tools available to everyone, not just big tech companies.
Agents that reliably follow human intentions and values.
from langchain.agents import create_openai_agent
agent = create_openai_agent(llm, tools, prompt)
result = agent.invoke({"input": query})
@app.post("/chat")
async def chat(query: Query):
response = await agent.arun(query.text)
return {"response": response}
100% Satisfaction Guarantee
If you're not happy with my work, I'll make it right or refund your payment. No questions asked.
Hacker News
Dev.to
Medium
AI Twitter
Team spending 40+ hours/week on document review.
Processing time reduced by 85%. Team focused on high-value tasks.
FAQ bot with 30% resolution rate.
Multi-tool agent with 85% autonomous resolution.
"The measure of intelligence is the ability to change."
Albert Einstein