ADYA PRASAD

Reinforcement learning • Multi-Agent Orchestration • Model Adaptation
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ABOUT ME

I started with Python backend development (5 years ago), and and have focused primarily on ai/ml research for the last 3 years. reinforcement learning, multi-agent orchestration, and safe model adaptation, not because these are trending fields, but rather my interest in them grew after reading the research papers (Google Deepmind, Deepseek, and Claude) and news, They are closest to the subject I like to get in depth.
On the applied side, I'm love building and tuning models to create helpful wrapper apps with it and solve Indian market problems. I prefer building platforms and systems rather than just creating an application. I am currently seeking a research affiliation or research internship to contribute and learn more: RL and multimodal ai architectures. Ready to put in effort, take charges, and align with the needs of practical research!


A soul, interested in the intersection of backend dev, ML research, data story telling, and entrepreneurship

EXPERIENCES

Developer and web administrator at NowTreat (Healthcare)

2023 - 2025 Nov
  • Collaborated with the founder, assisting staffs and marketing team to develop a patient-centric website, for ease of adaptability, used the Wordpress cms with a custom plugin for easy appointment booking, pre-/post-care guide.
  • Build a patient feedback and assistance loop to seek feedback, provide treatment guidance, and improve patient engagement.
  • With an optimised website and integrated feedback with marketing workflows, resulting in a 25% increase in clinic footfall through organic and paid digital marketing conversions

Freelance web and app developer

2021 - present
  • Worked with local enterprises, proprietors, and small businesses to understand requirements, analyse market and competitor insights, and deliver tailored, researched data, e-commerce applications, web platforms, and automation solutions (using n8n) aligned with their vision.
  • Successfully delivered 10+ projects, including: Rajeshwari Asha Enterprises (application for monitoring orders and throughput), Aditya Pathology (automated scheduling and customer notification system), Yatidhara [fmcg company]
  • Learn to handle end-to-end development lifecycle across multiple concurrent projects, communication with the clients, and understood problem faced by small cities founder

Founder (Developer and Author) of a STEM educational website: indiecore.in

2022 March - 2024
  • Run and manage a STEM educational website, specially focused on high school and intermediate students to provide free of cost study material for their exam preparation, computer skills, and reasoning skills development
  • Create 500+ resources and materials: blogs, webstories, quizzes, mock tests, pdfs and flashcards. Achieved 1 million plus impressions and than 200k traffic
  • Built with WordPress and custom plugins, Grow the application with 'Search Engine Optimization' and organic marketing os social platforms and forums

TA of fundamental of CA subject for freshers in college

2022 feb - 2022 may
  • Assistant TA for freshers, in fundamentals of computer application (an extracurricular subject), contributed to quizzes and problem sets creation and answered the students' chat queries.

Tutor at a private coaching institute

2019 - 2022
  • Started as passinate home tutor and progressed to teaching at a computer training institute, my role was to guide students in building web application & Python programming.
  • Guide students to prepare for tripleC and take their mock test.

PROJECTS

Cupid: Agentic Social Media Content Generation Platform

Cupid-agent-thumbnail
A production-deployed, multi-agent content generation system built on a swarm agentic architecture with 4 specialized agents. It handle high-dimensional tasks: Latent Persona Modeling for style alignment, real-time web retrieval, NLG (Natural Language Generation), semantic research, and RAG pipeline. A persona agent, a research agent, a composer agent handles structured LLM-based generation, while a security agent enforces adversarial content filtering and safety guardrails
multi-agent orchestrationMCPRAGLangchain

AushadhiNet-GATv2 DDI Model

AushadhiNet-GATv2-DDI-Model-Architecture-Image
AushadhiNet-GATv2 is a graph neural network model that predicts drug-pair interactions with probability scores and classifies interaction types (potential adverse drug reactions) across 86 mechanisms. The system alerts physicians and patients before prescribing or taking medications, preventing harmful drug combinations.
#Research ProjectGNNDrug MoleculesDrug Interaction Prediction

Open Engine: Autonomous Multimodal Data Analysis System

Automated Contribution Workflow Dashboard Screenshot
An open-source autonomous agentic system for ingestion, processing and analysis of heterogeneous unstructured data: documents, json, tabular files, text records, and images. Uses dynamic tool selection, schema inference, and Auto-EDA to deliver structured insights and visualizations without manual preprocessing. Tools: LangGraph, PyMuPDF, Polars, and ChromaDB (Phase 1: Active Development)
Multimodal AI,Data EngineeringAutoEDA

GLC-Platform

GLC-platform-dashboard-screenshot
Green Loan Cycle platform streamlines ESG-linked loan assessments automatically, identifying and measuring key metrics, making data capture on performance 30% easier with LMA framework and AI agents. Features: loan data resolution, loan assessment, sustainability checks, key stakeholder evaluation, loan balance sheet generation, and AI-assisted advice.
#Hackathon ProjectNLPFinancial AnalysisRAG

Self-learning, self driving car simulation with vanilla Javascript

Screenshot-Self-driving car simulation
Inspired by Dr. Radu Mariescu-Istodor, A pure JavaScript neural network system that learns to drive cars autonomously and avoid obstacles. AI Functions: Genetic Algorithm with mutation-based evolution, Population-based learning, Real-time neural network Visualisation, Fitness-driven selection for optimal performance
Autonomous SystemSelf driving carVanilla JS

A Educational and Exam Helping Website: indiecore.in

indiecore-logo.jpg
Developed and launch an educational STEM website using WordPress and custom plugins, achieve 1 million plus impressions with organic SEO. Featuring interactive quizzes, educational articles, and engaging web stories, CUET and SSC exams mock tests.
#Side HustleWordPress CMSSTEM websiteSEO

VIBE CODING PROJECTS

Mobi Flow: Type in your PC through phone from anywhere

Personal Prompts Manager Picture
Transform any article, text file, study resources, URL or direct text into interactive study materials: Summary, Flashcards, and Quizzes with live results and marks. Making learning interactive, evaluative and handy.
Hackathon ProjectAI Web ApplicationGemini Nano APIFetch API

Naina: Multimodel Assistant at Fingertips (Extension)

Personal Prompts Manager Picture
A multipurpose intelligent companion in your browser to boost productivity without distraction. With Multimodal intelligence, context awareness, local storage, and Dyslexia-friendly.
Hackathon ProjectChrome AI APIGemini Nano APIBrowser Extension

Social Media Inspired Fitness App

fitness-app-all-pages
A fitness app for youth friends, inspired by social media. Contains daily exercise customization, stop watch, time duration, daily streaks, camera app with filters, in build music player, in built fitness video player.
Node jsvite jsTailwind CSSMedia Player

OPEN SOURCE CONTRIBUTIONS

Hugging Face: Peft
https://github.com/huggingface/peft/issues/2944 {➚}
updated src/peft/utils/other.py in the set_additional_trainable_modules() and _get_module_names_tied_with_embedding() functions to respect the model config and also create test file
fine-tuningmodel adaptationstransfer learning
Unsloth AI
https://github.com/unslothai/unsloth/issues/224 {➚}
solved the issue of breaking of exporting model to Colab.
#UnslothGitHubCollabFine tuning

ARTICLES AND PUBLICATIONS

1. AushadiNet-GATv2: Graph Attention Network for Predicting Drug-Drug Interactions in Polypharmacy

India AI
I researched and presented AushadhiNet-GATv2, a graph neural network architecture for predicting drug-drug interactions in polypharmacy. System addresses critical limitations of existing DDI prediction methods through multi-view molecular representation learning, hierarchical GATv2 message passing with residual connections, dual-head classification for interaction detection and mechanism prediction, and integration with patient-specific cardiovascular risk profiling

2. How to Build and Deploy Ingress Microservices in Kubernetes

DEV .to

Microservices is a common approach used to design scalable software systems. Ways to build and deploy microservices in Kubernetes with Ingress for HTTP routing using a docker image from the docker hub repository and building yml files for both services.

SKILLS AND TECH STACK

LANGUAGES:PythonTypeScriptR langJavaScriptSQL
FRAMEWORKS:FlaskDjangoFastAPIReact jsNext js
TOOLS:Apache Ecosystem (learning: Kafka, Spark, and Hadoop)Hugging Face EcosystemOllamaMongoDBPostmanPrometheusn8nCanva
DB:PostgreSQLSQLiteMongoDB RedisChromaDB
LIBRARY / MODULES:PyTorchTensorFlowNLTK (NLP)NumpyPandasMatplotlibPEFTTransformersOpenaiLangchainLlamaIndexSQLAlchemyChromaDB
PLATFORMS:DockerKubernetesAWS Ubuntu OSKali OS

EXTRACURRICULAR ACTIVITIES & ACHIEVEMENTS

  1. Deloitte Australia Technology Job Simulation on Forage

    • Develop a program to normalise different telemetry JSON data of IOT machine (Simple ETL pipelines)
    • Craft a complete "software development proposal" for a real-time monitoring live dashboard
  2. Hackathon Winner: Bye to Beat on Devpost | Project: AushadhiNet-GATv2 DDI Model | Predicting Drug-Drug Interactions
  3. 200+ Submission Completitive Programming: HackerRank, LeetCode, CodeForces, and TensorTonic

LEARNINGS (EDUCATION)

St Thomas International School:

High School (9 and 10)
Intermediate (11 and 12).

VBSP University:

Bachelor of Science, Computer Science.

Harvard CS50x:

Computer Science, Cybersecurity, Artifical Intelligence and R*.

Master Diploma in Computer Application

from Amrtikosh Info-tech institute (duration: 2 years). Fundamentals of Computer Application, HTML, CSS, JS, TS, Bash Scripting, Web Development, MS Excel, and more

Certifications:

  1. YouTube full course playlist I take: Standford C229 Machine Learning (Autumn 2018), Stanford CS230 Deep Learning (Autumn 2025), Standford CS224R Deep Reinforcement Learning (Spring 2025)
  2. Introduction to Cloud Native DevOps Agile and NoSQL by IBM - [July 2024]
  3. Introduction to Amazon EC2 by AWS Training - [Oct 2025]
  4. Introduction to Amazon Simple Storage Service (S3) by AWS Training - [Oct 2025]
  5. Amazon SageMaker AI Getting Started by AWS Training - [Oct 2025]
  6. Build Your Own Chatbotby IBM SkillsBuild- [Jan 2025]
  7. Market research by Great Learning - [May 2024]
  8. Google Technical Writing Course One and Two by Google Developers - [June 2022]
  9. Content Creation, Optimization, SEO and Strategies by HubSpot Academy

CONTACT ME

Hey you, I am very much interested in speaking with you, Feel free to contact me