Manish
Mishra
Building intelligent systems that matter.
Computer Science Engineer specializing in AI & Data Engineering. I build production-ready intelligent systems — from ML models and LLM pipelines to enterprise data platforms and cloud infrastructure.
Featured Projects
Production-grade systems spanning AI, data engineering, DevOps, and backend development.
MediReporter
AI-powered clinical documentation system that converts medical reports into structured clinical summaries using NLP and transformer models.
BoardUniverse
Enterprise-grade CI/CD automation platform with Docker, Jenkins, SonarQube, Nexus, and Trivy for secure, production-ready deployments.
DataForge
Enterprise data lakehouse platform implementing Medallion Architecture on AWS + Databricks with real-time AI/BI dashboards.
Haa
ML-powered enrollment prediction system analyzing 20,000+ leads with funnel analytics and precision-recall optimized scoring models.
LLM Document Q&A System
RAG-based document intelligence system using LangChain, OpenAI, and vector embeddings for enterprise knowledge retrieval.
Engineering Intelligence. Building AI That Matters.
University
LPU Punjab
B.Tech CSE (AI & DE)
Focus Areas
AI · Data · Cloud
Multidisciplinary Engineer
Certification
Microsoft DP-900
Azure Data Fundamentals
Achievement
ITMO Scholar
Full Semester Scholarship
The Journey
Built My Foundation
Discovered my passion for technology and programming while in school. Began learning computer fundamentals, problem-solving, and developed a strong interest in Artificial Intelligence and software engineering.
Started B.Tech CSE (AI & DE)
Began my B.Tech in Computer Science with a specialization in Artificial Intelligence and Data Engineering, focusing on programming, algorithms, databases, and software engineering fundamentals.
AI & Machine Learning Projects
Developed AI and machine learning applications using Python, data analysis, and modern ML libraries while gaining hands-on experience with real-world datasets and model development.
Research Intern
Contributed to research-driven data analysis projects by collecting, cleaning, and interpreting datasets to generate meaningful insights and support evidence-based decision-making.
Data Engineer Intern
Worked on enterprise-grade Data Engineering and Business Analytics projects, building ETL pipelines, implementing Medallion Architecture on Databricks, and leveraging AWS cloud technologies.
Semester Exchange – ITMO University
Selected for an international semester exchange at ITMO University, Russia, where I studied advanced Computer Science, Artificial Intelligence, and Data Engineering while collaborating with students from diverse cultural and technical backgrounds. The experience strengthened my global perspective, adaptability, and engineering mindset.
Building the Future
Continuously building AI and Data Engineering solutions while expanding my expertise in cloud computing, large language models, system design, and scalable software development. Focused on creating impactful products and preparing for a global engineering career.
Experience
Building real-world systems across AI, data engineering, and research.
Data Engineering Intern
Built DataForge, an enterprise data lakehouse platform implementing Medallion Architecture on AWS S3 + Databricks. Designed end-to-end ETL pipelines processing 50GB+ of daily data with PySpark validation and star-schema dimensional modeling.
- Built Bronze→Silver→Gold Medallion Architecture on Databricks
- Reduced data preparation time for analysts by 90%
- Implemented PySpark validation engine with 99.5% pipeline success rate
- Designed star-schema marts serving AI/BI dashboards
Business Analyst Intern
Developed an ML-powered lead intelligence system analyzing 20,000+ enrollment leads. Engineered features from CRM data, trained precision-recall optimized models, and delivered a scoring system that improved sales conversion rates by 35%.
- Analyzed 20,000+ lead records for enrollment prediction
- Improved sales team conversion rate by 35%
- Achieved 85% recall on enrollment prediction model
- Reduced lead review time by 60% through automated prioritization
Research Intern
Conducted quantitative analysis on healthcare and social datasets involving 5,000+ participants. Contributed to policy-oriented research on healthcare accessibility, applying statistical methods and data visualization to derive insights.
- Analyzed healthcare datasets with 5,000+ participants
- Contributed to policy-oriented research publications
- Applied advanced statistical methods for social impact analysis
- Developed data visualization dashboards for research findings
Technical Skills
Full-stack expertise across AI, data, cloud, and engineering disciplines.
Let's Build Together
Open to full-time roles, internships, and interesting collaborations. Let's connect.
manishmishra2604@gmail.com
Phone
+91-8910555100
Location
Lovely Professional University, Punjab, India