Shivom Hatalkar
Building Intelligent Systems at the Intersection of AI, Language & Human Experience
Who I Am
About Me
AI & GenAI Analyst specializing in LLMs, RAG systems, and AI-driven full-stack applications. Hands-on experience in fine-tuning 3B-parameter LLMs using LoRA/QLoRA, building production-ready GenAI workflows, and deploying AI-powered applications. Strong foundation in machine learning, data analysis, and cloud-based AI platforms (GCP, AWS). Seeking for opportunities for a GenAI / Data & AI role focused on business-impactful AI solutions.
3B+
LLM Params Fine-tuned
23.7K
Training Dialogues
3+
AI Projects Shipped
LLM Fine-Tuning
Hands-on with LoRA/QLoRA on 3B+ parameter models
RAG Systems
Production-ready retrieval-augmented generation pipelines
Full-Stack AI
End-to-end AI applications with Next.js & Python
Agentic AI
Multi-agent workflows with N8N and LLM orchestration
Academic Background
Education
University of Mumbai
Bachelor of Engineering
Artificial Intelligence & Machine Learning
- Specialized in AI/ML with a focus on deep learning and NLP
- Additional honors track in Cyber Security
- Built multiple AI projects during coursework
Thakur Polytechnic
Diploma in Computer Engineering
Computer Engineering
- Foundation in computer science and software engineering
- Developed core programming and systems knowledge
B.E. in AI & ML — University of Mumbai
Specialised in Artificial Intelligence, Machine Learning, and Cyber Security — building the theoretical and practical foundation for a GenAI career.
Work History
Experience
Agentic AI Engineer Intern
Buzzworks Business Services Pvt. Ltd.
- 1Working on AI use cases for automating the Onboarding, Payroll and Compliance domains
- 2Implementing Agentic AI workflows using N8N and Large Language Models
- 3Designing multi-agent pipelines for enterprise HR automation
Machine Learning Intern
Prodigy Infotech
- 1Implemented core ML algorithms: Linear Regression, K-Means Clustering, and SVM
- 2Applied data preprocessing, feature scaling, and model evaluation techniques
- 3Built end-to-end ML pipelines for classification and clustering tasks
Web Development Intern
Nibodh Educare
- 1Developed and maintained responsive web application components across frontend and backend
- 2Worked with HTML, Tailwind CSS, React.js, Python, Django, and MySQL for full-stack development
What I've Built
Projects
From fine-tuned 3B-parameter mental health LLMs to AI-powered finance and fitness platforms — click any card for architecture details, engineering challenges, and key learnings.
Elixir-v2
3B-Parameter Mental-Health Conversational Model
A domain-specialized conversational AI model fine-tuned from Llama-3.2-3B-Instruct, designed specifically for mental health support conversations. Built with enterprise-grade model governance and responsible AI principles.
23.7K
Training Dialogues
3B
Model Parameters
RTX 3090
GPU
6+
Eval Metrics
Finance Tracker
AI-Enhanced Budgeting Tool
A full-stack personal finance management application with AI-powered spending insights. Integrates Mistral-7B to generate intelligent suggestions for optimizing spending habits in real-time.
Full-Stack
Stack
Mistral-7B
AI Model
Clerk
Auth
Drizzle
ORM
Pulse Fitness
Intelligent Fitness & Nutrition Assistant
An AI-powered fitness and nutrition assistant that generates personalized exercise and diet plans using Gemini LLM. Combines voice-driven AI interaction via Vapi with a polished Next.js frontend.
Gemini
AI
Vapi
Voice
Convex
Backend
AI SaaS
Type
Technical Expertise
Skills
AI / ML & GenAI
Data & Analytics
Frameworks & Tools
Cloud & Platforms
Web & Backend
Domain Proficiency Overview
Tools & Technologies
Credentials
Certifications
Click any completed certificate to view the PDF
IBM
IBM RAG and Agentic AI Professional Certification
Google Cloud
Google Cloud Platform (Vertex AI, Gemini)
5
Completed
2
In Progress
7
Total
Thoughts & Musings
Blog
Exploring the Boundaries of Mind & Machine
Beyond code, I explore Advaita Vedanta, consciousness studies, cognitive science, philosophy of mind, and AI & consciousness.
The Hard Problem of Consciousness: Where AI Meets Advaita
Exploring how Chalmers' hard problem of consciousness resonates with the Advaita Vedantic concept of Brahman as pure awareness — and what this means for AI systems that simulate understanding.
Large Language Models: Syntax Without Semantics?
Do LLMs genuinely understand language, or are they sophisticated pattern matchers? A cognitive science lens on the distinction between syntactic processing and semantic grounding.
Non-Dual Awareness and the Observer Effect in Quantum Cognition
Drawing parallels between the Advaitic notion of the witness-consciousness and quantum observer effects — how observation shapes reality in both physics and mind.
Building Empathetic AI: Lessons from Mental Health Conversational Models
Reflections from building Elixir-v2 — what it taught me about empathy, ethics, and the responsibility of deploying AI in sensitive domains.
The Great Retrieval Debate: Vector vs. Vectorless RAG
At the dawn of new emerging technologies, which type of RAG will gain the most trust from the enterprises - will cosine similarity win or will semantic tree graphs take the lead?
Get In Touch
Contact
Open to GenAI, Data & AI, and full-stack AI engineering opportunities. Feel free to reach out!
Seeking GenAI / Data & AI roles. Response time: within 24 hours.