AI/ML Engineer | Agentic Systems | Computer Vision

Deepankar Sharma

I build production AI that leaves the notebook, survives real users, and still feels a little bit magical.

Current build: Neighborly |

LangGraph RAG Vision AI FastAPI PostgreSQL

About Me

Profile picture

AI/ML Engineer building agentic products, RAG systems, and computer vision that ships.

I work where AI stops being a demo and starts becoming product: backend systems, model pipelines, semantic search, agent orchestration, and the last-mile details that make users trust the thing.

Right now my focus is Neighborly, a social platform for real-world neighbor discovery, local activities, events, and community engagement.

Before that, I shipped production AI across computer vision, video automation, SEO intelligence, semantic search, recommendations, and synthetic data. The common thread is simple: fast prototypes, clean systems, and AI that earns its place in the workflow.

Current Build Neighborly

Community discovery, activity matching, events, and local engagement.

AI Depth Agents + Vision

LangGraph, RAG, edge CV, synthetic data, and semantic retrieval.

Style Ship Fast

Prototype quickly, harden the useful parts, and keep the product moving.

Facts

A few human details behind the builder mode. I like making things on screens, but I also like getting away from them.

Paint

I paint when ideas need color, texture, and a break from terminals.

Backpack

I backpack light, chase mountain air, and collect stories from the road.

Travel

I travel for long walks, local food, quiet views, and unexpected detours.

Build

I build
apps, AI systems, communities, and tiny experiments that turn into bigger ones.

Skills

The stack I reach for when the job moves from idea to shipped system.

Agentic AI: LangGraph, LangChain, CrewAI, tool-use agents
RAG & Search: embeddings, semantic search, Neo4j, PostgreSQL
Computer Vision: Re-ID, PAR, OpenCV, ONNX, OpenVINO
GenAI Media: Stable Diffusion, SAM, ControlNet, Whisper
Backend: FastAPI, Django, Flask, REST APIs, Python
ML Frameworks: PyTorch, TensorFlow, LoRA, TensorRT
Data: Pandas, NumPy, SQL, analytics, regression
Cloud & Ops: Docker, GCP, AWS, Jetson, Linux

Resume

Latest snapshot: AI/ML engineer, generative AI builder, and product-minded systems developer. This section is formatted to print cleanly, no separate PDF needed.

Summary

Deepankar Sharma

AI/ML engineer building production generative AI, agentic automation, RAG, semantic search, and computer vision systems. Experienced across early-stage product ownership, backend engineering, model optimization, data pipelines, and cloud deployment.

Experience

Computer Vision Engineer

Nov 2024 - 2026

i2V Systems, Gurugram

  • Optimized person re-identification and attribute models for production inference with ONNX, OpenVINO, and edge deployment.
  • Led video synopsis development and automated training pipelines, reducing the label-to-train cycle by 65%.
  • Built synthetic data workflows using ControlNet, inpainting, and generative image composition.

ML Developer / Senior ML Developer

Aug 2023 - Oct 2024

Warewe Consultancy, Gurugram

  • Scaled Shotify.ai on Django/GCP to support thousands of daily AI video generations for short-form social content.
  • Designed Neo4j-backed RAG and semantic-search systems using GTE/BGE embeddings for production knowledge retrieval.
  • Fine-tuned LLaMA-2/3 with LoRA and shipped GenAI systems with Stable Diffusion, SAM, Whisper, LangChain, and SEO automation.

Education

Master of Computer Applications (MCA)

2023 - 2025

Graphic Era University (ODL)

Focus: Machine Learning, Data Science, and applied AI systems.

Bachelor of Computer Applications (BCA)

2020 - 2023

Graphic Era University, Haldwani

Gold Medalist | SGPA: 9.4/10

Selected Projects

Neighborly

Current Build

yourneighborly.com

Social platform for real-world neighbor discovery, activity matching, event participation, and community engagement.

RedSerp, VitalPeptides & Open Source ML

Product Systems
  • RedSerp: Reddit trend intelligence with automated PostgreSQL ingestion, topic discovery, and ML-based content optimization.
  • VitalPeptides: Personalized recommendation engine using regression analysis and customer signals.
  • Published 17+ models and datasets on Hugging Face with 20k+ downloads across applied ML experiments.

Active AI Builds

Founding AI Engineer

Nov 2025 - Present

Redegades

  • Architecting an AI Co-CEO decision-intelligence platform using LLMs, LangGraph, RAG, Fireflies, and multi-agent orchestration.
  • Built OpenClaw and Hermes based agentic automation combining semantic search, tool use, and cross-application actions.

AI & Lead Developer

Nov 2025 - Present

LabThunder

  • Leading a multi-agent lab operations platform with LangGraph, RAG, ML analytics, and workflow optimization.
  • Designed AI workflows for equipment discovery, task routing, decision support, and operational analytics.

Certifications

Selected Certificates

  • Google Data Analytics Professional Certificate - Google
  • Machine Learning Specialization - DeepLearning.AI
  • Deep Learning Specialization - DeepLearning.AI
  • Machine Learning with TensorFlow on Google Cloud - Google Cloud

Portfolio

Flagship products, production systems, older experiments, and the proof-of-work trail behind them. The front row is what I would show first in a room full of builders.

  • Flagship
  • Projects
  • Kudos
  • Certifications
  • Notes
Neighborly app Current Build
Neighborly

Real-world neighbor discovery, local activities, events, and community engagement.

Visit
Redegades business copilot Business Copilot
Redegades

AI business copilot for decision intelligence, meeting memory, and cross-application automation.

Details
LabThunder Multi-Agent Ops
LabThunder

Multi-agent lab workflows for equipment discovery, routing, and decision support.

Visit
Shotify.ai AI Video
Shotify.ai

Short-form video generation and publishing pipeline built on Django and cloud infrastructure.

Visit
RedSerp.com Trend Intel
RedSerp.com

Reddit trend intelligence with automated ingestion, topic discovery, and ML content insights.

Visit
Paperbot.AI Content Agent
Paperbot.AI

GPT-4, Whisper, LangChain, and CrewAI system for turning voice and notes into long-form content.

Visit
Campus Gem 2023
Campus Gem 2023
Navikarnam-2023
Navikarnam-2023
PDF & Webcontent Chatbot
PDF & Webcontent Chatbot
Chicken Disease Classification using Fecal Images
Chicken Disease Classification using Fecal Images
Movie Recommendation System
Movie Recommendation System
State-of-the-Art Embedding Generation with GTE and BGE Models
State-of-the-Art Embedding Generation with GTE and BGE Models
Text Summarizer
Text Summarizer
MyTodo: Flask App
MyTodo: Flask App
Fashion Products Recommender System
Fashion Products Recommender System
Machine Learning Specialization
Machine Learning Specialization
Conversational Text Generator using GRU-RNN
Conversational Text Generator using GRU-RNN
Whatsapp Chat Analyzer
Whatsapp Chat Analyzer
Smart Surveillance with Computer Vision
Smart Surveillance with Computer Vision
Deep Learning Specialization
Deep Learning Specialization
Google Data Analytics Professional Certificate
Google Data Analytics Professional Certificate
Machine Learning with TensorFlow on Google Cloud
Machine Learning with TensorFlow on Google Cloud
BCA Study Materials
BCA Study Materials

Services

I build practical AI fast: agents, retrieval systems, vision models, backend APIs, and the ops needed to keep them useful.

AI Product Prototyping

From rough idea to working demo, then into the first production-ready path.

Agentic Workflows

LangGraph, tool use, workflow routing, memory, and automation that survives messy tasks.

RAG & Semantic Search

Grounded retrieval, embeddings, graph-backed search, and answers that can be trusted.

Recommendation Engines

Customer signals, regression, product matching, and ranking logic tuned for outcomes.

Computer Vision

Re-ID, attributes, video synopsis, synthetic data, and edge deployment for real-time systems.

Data & MLOps

Pipelines, evals, deployment, monitoring, and the boring parts that make AI reliable.

Testimonials

Don’t just take my word for it—here’s what clients, collaborators, and teammates have said about working with me.

Working with Deepankar has been one of the best professional experiences I’ve had. He works harder and creates faster than anyone I’ve ever worked with, consistently delivering above expectations. What truly sets him apart is his willingness to learn and his openness to feedback. In an industry where too many people believe they already know it all, Deepankar stands out for his humility, adaptability, and drive to get better every single day. He’s not only talented, but also a true partner in building solutions that last.

AJ Bachelier

Founder & CEO,
VitalPeptides.us

Throughout his time in my classes, Deepankar consistently impressed me with his dedication, critical thinking skills, and ability to grasp complex concepts in the subjects. His contributions often sparked thoughtful discussions, and he was never afraid to take initiative when exploring new ideas.
He has the rare mix of academic excellence and genuine curiosity that makes teaching truly rewarding.

Nidhi Joshi

Assistant Professor
GEHU-Dehradun

Deepankar's strong work ethic, collaborative nature, and outstanding problem-solving abilities have made him a valuable asset in our projects together. He approaches every challenge with a calm mindset, thinking critically before offering solutions that are both innovative and practical.
Working with him doesn’t just mean getting things done—it means raising the quality of the entire project.

Vipin Kumar

BCA, GEHU-Haldwani

His enthusiasm for exploring new technologies and pushing the boundaries of what is possible in the realm of deep learning is truly inspiring. What I admire most is his ability to simplify complex topics, making them approachable for others.

Deepankar naturally motivates the people around him, creating an atmosphere of learning and growth wherever he goes.

Gurpreet Kaur Jassal

BCA, GEHU-Dehradun

Learning becomes real fun with him around. He has a strong passion for learning and a remarkable aptitude for computer science. I have often seen him helping peers understand complex topics, breaking them down into simple explanations that make everything click.
His positive energy and supportive nature make him not just a great student, but also a great teammate and friend.

Lakshjeet Singh Jalal

B.Tech-CSE, GEHU-Haldwani

Contact

Have a serious AI problem, a weird prototype, or a product that needs to get real? Let’s talk.
I am especially interested in agentic systems, computer vision, community tech, and useful automation.

Location:

Nainital, Uttarakhand, India

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