DEEPAN SADHUKHAN
AI/MLengineerinKolkata.Ibuildmulti-agentLLMsystemsandcomputer-visionmodels,andco-authoredadocument-layoutpaperacceptedatICDAR2025.
Marketing operations platform built around a Supervisor agent that orchestrates 16 specialized sub-agents. One stated campaign intent turns into coordinated execution across channels without a human in the loop.

Marketing operations platform built around a Supervisor agent that orchestrates 16 specialized sub-agents. One stated campaign intent turns into coordinated execution across channels without a human in the loop.
MARKETOS
Marketing operations platform built around a Supervisor agent that orchestrates 16 specialized sub-agents. One stated campaign intent turns into coordinated execution across channels without a human in the loop.
MARKETOSAgentic trading simulator over live OHLCV data, RAG news retrieval, and computed technical indicators. LLM analysis turns those into structured stock reports you can audit, alongside real-time P&L simulation.

Agentic trading simulator over live OHLCV data, RAG news retrieval, and computed technical indicators. LLM analysis turns those into structured stock reports you can audit, alongside real-time P&L simulation.
TRADESIM
Agentic trading simulator over live OHLCV data, RAG news retrieval, and computed technical indicators. LLM analysis turns those into structured stock reports you can audit, alongside real-time P&L simulation.
TRADESIMAI voice call management platform (Retell AI–comparable) with dashboards for campaign management, call-log analytics, AI workflow building, lead management, and knowledge-base integration. Automated GoHighLevel CRM workflows via n8n.

AI voice call management platform (Retell AI–comparable) with dashboards for campaign management, call-log analytics, AI workflow building, lead management, and knowledge-base integration. Automated GoHighLevel CRM workflows via n8n.
BOL BACHHAN
AI voice call management platform (Retell AI–comparable) with dashboards for campaign management, call-log analytics, AI workflow building, lead management, and knowledge-base integration. Automated GoHighLevel CRM workflows via n8n.
BOL BACHHANGlucose-aware ordering agent for Indians managing PCOS, prediabetes, and CGM-tracked metabolic health. Reads a user's glycemic profile, re-ranks Swiggy's live menu by predicted personal glycemic impact instead of generic GI tables, and places the order through Swiggy's MCP tool schema - a multi-step LLM tool-calling loop, not a static filter.

Glucose-aware ordering agent for Indians managing PCOS, prediabetes, and CGM-tracked metabolic health. Reads a user's glycemic profile, re-ranks Swiggy's live menu by predicted personal glycemic impact instead of generic GI tables, and places the order through Swiggy's MCP tool schema - a multi-step LLM tool-calling loop, not a static filter.
GLYCOCART
Glucose-aware ordering agent for Indians managing PCOS, prediabetes, and CGM-tracked metabolic health. Reads a user's glycemic profile, re-ranks Swiggy's live menu by predicted personal glycemic impact instead of generic GI tables, and places the order through Swiggy's MCP tool schema - a multi-step LLM tool-calling loop, not a static filter.
GLYCOCARTMultimodal deepfake-detection pipeline built for Smart India Hackathon 2024. MTCNN and Azure Computer Vision extract and align faces from raw video, feeding a ResNeXt-50 + LSTM classifier for visual frames alongside Librosa audio-feature analysis, with Kafka-based streaming for real-time inference at scale.

Multimodal deepfake-detection pipeline built for Smart India Hackathon 2024. MTCNN and Azure Computer Vision extract and align faces from raw video, feeding a ResNeXt-50 + LSTM classifier for visual frames alongside Librosa audio-feature analysis, with Kafka-based streaming for real-time inference at scale.
DEEPFAKE DETECTION
Multimodal deepfake-detection pipeline built for Smart India Hackathon 2024. MTCNN and Azure Computer Vision extract and align faces from raw video, feeding a ResNeXt-50 + LSTM classifier for visual frames alongside Librosa audio-feature analysis, with Kafka-based streaming for real-time inference at scale.
DEEPFAKE DETECTIONHierarchical layout extraction system using PyTorch and Roboflow object detectors, benchmarked on a dataset of 1,965 exam papers for automated digital question-bank creation. Co-authored with Utathya Aich, Shinjini Chakraborty, Souradeep Ghosh, and Tulika Saha.

Hierarchical layout extraction system using PyTorch and Roboflow object detectors, benchmarked on a dataset of 1,965 exam papers for automated digital question-bank creation. Co-authored with Utathya Aich, Shinjini Chakraborty, Souradeep Ghosh, and Tulika Saha.
HILEX PUBLICATION
Hierarchical layout extraction system using PyTorch and Roboflow object detectors, benchmarked on a dataset of 1,965 exam papers for automated digital question-bank creation. Co-authored with Utathya Aich, Shinjini Chakraborty, Souradeep Ghosh, and Tulika Saha.
HILEX PUBLICATIONOTHER PROJECTS
BLOODLINK
Blood bank platform with donor registration, live inventory, and map search for nearby banks. A TensorFlow model forecasts demand so stock allocation is not guesswork, and inventory stays in sync across banks.
ECO-ALERT
Geotagged, photo-backed hazard reports for water, air, noise, and chemical spills, with live air-quality overlays on a Supabase realtime map.
CAMERA PLACEMENT VISUALIZER
Customer-facing Three.js scene with animated water and orbit controls, wrapped around a greedy algorithm that scores camera arrays on coverage, overlap, pixel density, and bird-detectability. Exports the chosen deployment plan as JSON, CSV, and a Markdown report.
SURVEYSPARROW
Describe what a survey needs to find out and Gemini's structured-output API returns the whole schema: titles, question types, rating scales, Likert matrices. Drag-and-drop editor and results dashboard on top.
RADISH
Vehicle-dynamics simulator built from a from-scratch physics engine - custom engine, transmission, brake, and chassis models - exposed as a Gymnasium environment for reinforcement-learning agents trained with Stable-Baselines3. Renders through a PyQt6 desktop app and a Panda3D 3D viewport with physically-based studio lighting.
NUTRISENSE AI
Google ADK multi-agent system built for a Google hackathon. A root agent delegates to a Gemini Vision scanner, a diet coach, a meal planner, and a Places-API agent for nearby options, with Firestore-backed logs behind a progress dashboard.
BIRD DETECTOR
Real-time bird detection on a Raspberry Pi 4 with an IMX708 camera, running a YOLO26n model exported to NCNN for ARM inference and streaming annotated MJPEG video over Tailscale. Documented failure analysis on small-object detection and SAHI tiling tradeoffs drove iterative accuracy improvements on constrained hardware.
KODAK COLORSPACE VLM
Does color-space representation bias a vision-language model? Every image in the Kodak benchmark is split into 17 variants (RGB, grayscale, CMYK, HSV/LAB channels) and run through Gemini Flash and Llama 4 Scout and Maverick to see how scene understanding shifts.
PUBLICATIONS
HiLEx: Image-Based Hierarchical Layout Extraction from Question Papers
Utathya Aich, Shinjini Chakraborty, Deepan Sadhukhan, Souradeep Ghosh, Tulika Saha
- -Developed a hierarchical document layout extraction system using PyTorch and Roboflow object detectors, benchmarked on a multimodal dataset of 1,965 exam papers to automate digital question-bank creation.
- -ICDAR is the IEEE/IAPR conference on document analysis and recognition; the paper appears in the Springer LNCS proceedings.
SKILL MATRIX
EXPERIENCE
- Architected MarketOS: a Supervisor agent orchestrating 16 specialized sub-agents
- Built event-driven multi-agent system with LangGraph, Claude API, Kafka, pgvector
- Inter-agent schemas, observability pipelines, and dashboards non-engineers could read
- Built TradeSim, an agentic trading-simulation platform with RAG news retrieval
- Schema-validated LLM output driving stock analysis and real-time P&L simulation
- Built Bol Bachhan, an AI voice call management platform, with Next.js and TypeScript
- Automated GoHighLevel CRM workflows via n8n and rebuilt landing pages
- Drove 40% sales growth, ~70% more qualified inbound calls, 30% better lead conversion
- Developed Flask microservices with CRUD endpoints for core product workflows
- Identified 9 critical backend issues via systematic Postman API testing
- Scraped and validated ~1,500 high-intent sales leads with BeautifulSoup
- Built a disease-diagnosis RAG chatbot achieving 85% diagnostic accuracy
- Ran it against 500+ test users before rollout
- Automated a portal managing 30+ student-project mappings
EDUCATION & ACHIEVEMENTS
BTech in Computer Science, Specialization in AI & Machine Learning
Institute of Engineering and Management
Salt Lake, Kolkata, West Bengal, India
2023 - 2027- -Led interdisciplinary teams at Startup Mahakumbh, MSME IP-Yatra, IDE Bootcamps, and the Google Solution Challenge.
- -Selected for the Swiggy Builder Club with GlycoCart, a glucose-aware ordering agent built on Swiggy's MCP server.