SHUBHAM
SHARMA
BE THE EXCEPTION. AI/ML Engineer passionate about Machine Learning, Deep Learning, NLP, and Generative AI — fine-tuning intelligent models that learn, adapt, and scale.
Generative AI &
Engineering intelligence with precision & speed.
From analyzing conversational data with LLMs and building microgravity RAG search engines, to developing real-time computer vision and IoT systems — every model is built for high accuracy and scalable execution.
Architecting The Future Of Autonomous Systems
Specialized in bridging the gap between raw neural research and scalable, production-ready Generative AI platforms.
Shubham Sharma
AI/ML Specialist & PromptOps Engineer
I’m a B.Tech Computer Science (AI & ML) student at KR Mangalam University (2023–2027) passionate about exploring how Artificial Intelligence can solve complex real-world problems and enhance human capability.
I specialize in Generative AI, Deep Learning, and Natural Language Processing — designing autonomous agent workflows, fine-tuning neural architectures, standardizing prompt engineering pipelines, and building scalable production systems.
Academic Journey
2023–2027
KR Mangalam University
B.Tech Computer Science (AI & ML)
Championship Records
National & University Level
- National Technology Day1st Prize Winner 🏆
- RoboRush 1.0Top Innovation Award 🏆
- Hack KRMU 4.0Hackathon Finalist 🏆
- Code for BharatAI Track Honoree 🏆
- Adobe HackathonRecognized Project 🏆
Generative AI & LLMs
Autonomous agents, LangChain/LlamaIndex pipelines, prompt engineering, RAG systems, and conversational intelligence.
Deep Learning & Vision
Convolutional Neural Networks, real-time object detection, media forensics, OpenCV pipelines, and edge deployment.
NLP & Language Models
Text classification, entity extraction, sentiment analysis, semantic vector search, and tokenization algorithms.
IoT & Smart Systems
Hardware telemetry integration, real-time sensor analytics, environmental forecasting, and automated alert systems.
Featured Projects
12 Production architectures spanning autonomous multi-agent pipelines, RAG systems, and computer vision models.
AI-Based Smart Eco Air Pollution Control System
An intelligent IoT and Machine Learning environmental system that monitors real-time air quality data and triggers automated eco-control responses to mitigate urban pollution.
Key Capabilities & Architecture:
- ›Monitors real-time air quality data (AQI, PM2.5, PM10) and triggers automated eco-control responses.
- ›Applied predictive ML models to forecast pollution spikes and environmental anomalies.
- ›Designed automated alert thresholds and hardware actuation for real-time hazardous AQI mitigation.
Verified production AI architecture with deterministic execution and low-latency throughput.
Deepfake Detection & Media Forensics
Deep neural network system trained to detect manipulated facial features, synthetic voice artifacts, and generative media alterations in high-resolution video frames.
Key Capabilities & Architecture:
- ›Analyzes spatial artifacts and temporal inconsistencies across high-resolution video frames.
- ›Robust binary & multi-class classification identifying AI-manipulated and synthetically generated media.
- ›Trained on extensive benchmark facial manipulation datasets with high precision.
Verified production AI architecture with deterministic execution and low-latency throughput.
PromptOps-AI — Enterprise Prompt Engineering
Advanced prompt operations platform automating prompt testing, versioning, chain-of-thought benchmarking, and output quality optimization for enterprise LLMs.
Key Capabilities & Architecture:
- ›Automated prompt evaluation pipelines testing response consistency, latency, and token efficiency.
- ›Designed structured prompt templates and chain-of-thought workflows for enterprise LLM tasks.
- ›Standardized prompt performance benchmarks across multiple foundation models.
Verified production AI architecture with deterministic execution and low-latency throughput.
AI-Powered Expense Tracker with CFO Alerts
Personal finance intelligence system leveraging machine learning to evaluate transaction spending patterns, forecast budgets, and generate LLM-based financial summaries.
Key Capabilities & Architecture:
- ›Built a personal finance system using ML to analyze spending patterns and generate LLM-based budget summaries.
- ›Automated budget overrun alerts; reduced manual expense review time by ~50%.
- ›Engineered structured financial report generation with predictive trend analysis.
Verified production AI architecture with deterministic execution and low-latency throughput.
Customer Intelligence Email Automation Agent
Autonomous customer intelligence agent analyzing incoming emails for sentiment and context, retrieving relevant knowledge base data, and drafting smart contextual responses.
Key Capabilities & Architecture:
- ›Analyzes customer sentiment, tone, and inquiry intent in real-time.
- ›Generates contextual, high-accuracy email drafts for rapid team review and approval.
- ›Enhances customer support satisfaction with instant, verified contextual answers.
Verified production AI architecture with deterministic execution and low-latency throughput.
Facial Emotion Detection using Deep Learning & OpenCV
Real-time Convolutional Neural Network (CNN) emotion recognition architecture built for live camera video processing and high-precision emotion classification.
Key Capabilities & Architecture:
- ›Designed a real-time CNN-based emotion recognition system for live video processing using OpenCV.
- ›Optimized for low-latency deployment across 7 distinct facial emotion categories.
- ›Integrated face detection Haar cascades and deep feature extraction pipelines.
Verified production AI architecture with deterministic execution and low-latency throughput.
Space Biology Knowledge Engine
Retrieval-Augmented Generation (RAG) platform indexing dense NASA and international space biology research datasets for interactive microgravity scientific exploration.
Key Capabilities & Architecture:
- ›Vector embedding search and LLM query answering over dense space biology datasets.
- ›Fast contextual retrieval for scientific literature and microgravity experimental findings.
- ›Built interactive query interface for complex biological domain exploration.
Verified production AI architecture with deterministic execution and low-latency throughput.
Train Accident Prevention Safety System
Automated railway safety system leveraging computer vision and sensor telemetry to detect track obstacles, signal irregularities, and trigger collision prevention safeguards.
Key Capabilities & Architecture:
- ›Real-time video analysis for track obstruction detection and automated alarm triggers.
- ›Integrated sensor metrics to forecast track safety and prevent catastrophic collisions.
- ›Designed low-latency fail-safe notification triggers for railway operations.
Verified production AI architecture with deterministic execution and low-latency throughput.
Resume Candidate Screening System using Machine Learning
End-to-end recruitment intelligence system automating resume parsing, skill matching, candidate ranking, and domain experience evaluation using NLP algorithms.
Key Capabilities & Architecture:
- ›Automated candidate evaluation and qualification matching with 92%+ classification accuracy.
- ›Extracted technical skills, certifications, and domain experience from unstructured resumes.
- ›Reduced manual recruitment shortlisting overhead by 80%+ with automated candidate ranking.
Verified production AI architecture with deterministic execution and low-latency throughput.
Support Ticket Classification & Prioritization using ML
Automated NLP classification pipeline categorizing customer support queries, detecting sentiment urgency, and routing high-priority tickets to specialized response teams.
Key Capabilities & Architecture:
- ›Multi-class text classification categorizing issues and assigning priority urgency in real-time.
- ›Significantly reduced customer ticket triage time and manual routing errors.
- ›Optimized customer resolution response workflows with automated tagging.
Verified production AI architecture with deterministic execution and low-latency throughput.
Personal Voice AI Assistant (N8N, Lovable, ElevenLabs)
Multimodal AI personal assistant integrating N8N workflow automation, Lovable modern user interface, and ElevenLabs ultra-realistic neural voice generation.
Key Capabilities & Architecture:
- ›End-to-end voice conversation with ultra-realistic text-to-speech neural synthesis.
- ›N8N workflow automation coordinating calendar, tasks, and dynamic API integrations.
- ›Clean interactive frontend interface crafted with Lovable and responsive WebSockets.
Verified production AI architecture with deterministic execution and low-latency throughput.
AI Lead Generation & Enrichment Automation
Autonomous pipeline automating prospective lead discovery, web data scraping, contact enrichment, and AI-personalized outreach email generation.
Key Capabilities & Architecture:
- ›Automated prospect discovery and contact data extraction from public web directories.
- ›Integrated LLM prompts to generate personalized, high-conversion outreach copy.
- ›Streamlined business development workflows with automated lead scoring.
Verified production AI architecture with deterministic execution and low-latency throughput.
Experience & Milestones
A scroll-linked chronicle of engineering leadership, production architectures, and shipped platforms.
AI & Prompt Engineering
VaultofCodes · Internship· Delhi, India · Remote
Designing cutting-edge Generative AI workflows, prompt optimization strategies, and LLM automation pipelines to build intelligent, autonomous AI solutions.
Green Intern – Sustainability & Climate Action
1M1B (1 Million for 1 Billion) · Internship· Remote
Leveraged data analytics and technology frameworks to drive measurable sustainability outcomes aligned with UN Sustainable Development Goals (SDGs).
Internship on Conversational Data Analysis with LLMs
Vodafone Idea Foundation · Internship· Remote
Conducted conversational data analysis, intent classification, and prompt evaluation utilizing modern Large Language Models and NLP frameworks.
AI/ML Intern
InternPro · Internship· Remote
Engineered intelligent machine learning systems and Natural Language Processing pipelines to solve domain-specific data challenges.
AI & Machine Learning Intern
Edunet Foundation · Internship· Remote
Intensive artificial intelligence internship focusing on core machine learning algorithms, deep neural network fundamentals, and responsible AI practices.
Former Founder & Product Manager
Aangan Market · Self-employed· Delhi, India
Founded and operated an independent Shopify-based e-commerce store (Aangan Market), managing the complete product roadmap, UI/UX, and business lifecycle.
B.Tech Computer Science (AI & ML)
KR Mangalam University · Undergraduate Degree· Gurugram / Greater Delhi, India
Specialized degree focusing on Artificial Intelligence, Machine Learning, Deep Neural Networks, Advanced Data Structures, and Computer Vision.
Skills & Toolsets
Generative AI & LLMs
Engineering structured prompt pipelines, chain-of-thought workflows, RAG embeddings, and autonomous agent orchestration.
Deep Learning & Vision
Developing real-time Convolutional Neural Networks, Deepfake detection pipelines, and computer vision classification.
Cloud & Data Systems
Deploying scalable AI microservices on multi-cloud infrastructure with interactive real-time user interfaces.
Initialize Collaboration
Whether you're exploring autonomous agent systems, AI consulting, or full-time roles — let's build the future of intelligence together.