VYOM THAKER

AI Engineering & Generative Systems
(Portfolio — 2025)
(Available for Work)

I'm an AI Engineer & Data Scientist
building intelligent systems &
scalable ML pipelines.

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VT
About
02
Not just
an engineer.
An architect
of thought.

"I don't optimise models. I ask why the problem exists in the first place — then build something that makes it irrelevant."

Three years deep into AI — not as a spectator, but as someone who has shipped production systems, won hackathons, and consistently found the edge between what a model can do and what a product should do. Mumbai-based, globally minded.

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GPA
0+
Years in AI
0+
Projects Built
0×
Hackathon Wins
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Currently: final year. Obsessively: always.

Open to work
Craft

What I Build

01
Generative AI
& Agentic Solutions

Making machines think.

  • Multi-agent orchestration with LangGraph
  • Production RAG pipelines (ChromaDB, FAISS)
  • Custom LLM fine-tuning & prompt engineering
LangChainLangGraphOpenAI APIChromaDBFAISSWhisperOCR
02
AI Full-Stack
Development

From idea to shipped product.

  • FastAPI / Flask backends with AI inference layers
  • React & Next.js frontends wired to ML models
  • Database design — SQL, NoSQL & vector stores
FastAPIFlaskReactNext.jsPostgreSQLMongoDBDocker
03
Creative
Design

Beauty meets function.

  • High-converting landing pages & portfolio sites
  • Brand identity — logos, posters, social content
  • Motion graphics & short-form video editing
FigmaCanvaAdobe ExpressCapCutHTML/CSSTailwind
Selected Work
04
Every line
of code,
a story.
✦Built for impact · Shipped for scale
View All Projects
Machine Learning✦Agentic Systems✦Full-Stack Dev✦NLP & RAG✦Creative Design✦Data Science✦Generative AI✦Scalable Architecture✦Machine Learning✦Agentic Systems✦Full-Stack Dev✦NLP & RAG✦Creative Design✦Data Science✦Generative AI✦Scalable Architecture✦
05
Experience
05
Where I've
turned ideas
into impact.
✦4 Internships · AI, Data Science & Full-Stack
01
Recent
80% Latency Cut

AI Engineer Intern

ActionSync· Oct 2025 – Jun 2026
  • Engineered and optimized the enterprise search engine's retrieval techniques across Jira, Confluence, Outlook & Gmail.
  • Reduced retrieval latency by 50–80% (40–50s → 10–20s) via a hybrid keyword-semantic search approach.
  • Simplified query handling and data processing, improving efficiency and robustness for enterprise-level deployment.
Hybrid SearchSemantic RetrievalEnterprise APIsLangChain
02
Current
60% Faster Queries

AI Engineer Intern

Catalyst AI Labs· Jun 2025 – Sep 2026
  • Built & deployed CatalystOne — an enterprise AI chatbot on Hitachi hardware, supporting RAG, live web, and NL2SQL (CatalystQL) across 3 data sources.
  • Orchestrated the full app stack on Kubernetes with 100% on-appliance data residency and zero cloud dependency for air-gapped, enterprise-grade security.
  • Reduced data retrieval & query response times by ~60% by combining vector-based document retrieval with AI-generated SQL pipelines.
KubernetesRAGNL2SQLVector DBLLM
03
AI / RAG
35% Accuracy Boost

Data Science Intern

AGenC.ai· Nov 2024 – May 2025
  • Designed & deployed enterprise-grade RAG pipelines using LangChain & ChromaDB, improving retrieval accuracy by 35% for large-scale document processing.
  • Built a marketing analytics engine to detect low-performing products and trigger AI-driven content generation — boosting engagement by 40%.
  • Integrated custom embeddings for domain-specific semantic search, reducing irrelevant results by 25%.
RAGChromaDBLangChainAI AgentsEmbeddings
04
Full-Stack
20% Speed Gain

Python Developer Intern

Univ. of Texas at Dallas· Jun 2024 – Nov 2024
  • Built a Python/Flask rides & car-lending platform, improving database query performance by 20% through schema and controller optimization.
  • Designed and implemented scalable database architecture and core controllers, optimizing data retrieval speed by 20% for complex datasets.
  • Improved system scalability by refactoring key backend components and enhancing React UI functionalities.
FlaskReactPostgreSQLPython

Every role a new lens. Every problem a new language.

Currently at Catalyst AI Labs
04
Momentum
04
Wins
& Impact
0
Hackathon Wins
Ranked 1st or 2nd
0+
Events Led
As organiser & lead
0
Campus Roles
Across 3 institutions

Competitive

01
1st Place · 2024

Artemis Hackathon

Healthcare portal — automated bookings, BMI trackers, emergency geolocation.

02
1st Runner-Up · 2025

Tata STRIVE Code Odyssey

LLM concept-ranking pipeline — evaluating pitches via audio transcription & OCR.

Leadership & Community

Student's Council

Head of PR

+25% institutional funding secured through strategic campaigns.

GDSC KJSIEIT

Marketing Expert

+50% event engagement through targeted community outreach.

"
Voices
05
They Said
It.
"

Vyom is one of the most reliable team members to have. Curious, adaptive and most importantly taking the time to align with the outcome. Great work ethics and with potential to crack the code.

R

Rishabh Kapoor

Founder, AGenC.ai

"

Vyom has shown immense technical caliber and efficiency during the course of the internship. His immense knowledge and skills have proven to be a huge asset and have helped progress the project development cycle rapidly during the tenure of this internship.

S

Dr. Sumit Majumdar

Professor, University of Texas at Dallas

Connect

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