Harsh
Gidwani
AI Engineer at Stark Technologies Media Services building production LLM systems — multi-agent pipelines, grounded generation, and durable workflows. Creator of Lemma, a live 5-agent research commercialization platform.
My Journey & Vision
I'm an AI Engineer who ships production systems — most recently Lemma, a live multi-agent platform where five grounded AI agents evaluate research papers and generate fully-cited investor decks on durable serverless workflows. I'm completing an Integrated B.Tech in AI & Data Science at MIT-WPU (CGPA 8.5) alongside professional engineering work, and I've shipped over 17 projects spanning multi-agent orchestration, NLP, LSTM-based forecasting, transformer visualization, and full-stack AI products — because I believe the only way to actually learn this field is to build in it.
Beyond products, I balance professional AI engineering work with deep technical study and community contribution through LinkedIn—documenting architecture decisions, insights, and milestones. My core stack spans Python, TypeScript, Next.js, TensorFlow, and PostgreSQL, with production experience in LLM orchestration (Gemini, LangChain), durable workflow systems (Inngest), and schema-constrained generation. I'm currently deepening LLM evaluation, retrieval pipelines, and MLOps practice.
I take pride not only in my discipline and consistency, but in my mindset: I don't just aim to follow the path—I'm here to redefine it. I believe in grinding with heart, celebrating milestones, and staying grounded no matter how far I go. My long-term vision is to innovate at a global level, contribute to the tech ecosystem with meaningful work, and one day live and build in places like Paris or New York—surrounded by people who believe in the same kind of relentless, inspired growth. Additionally, I maintain a research portfolio showcasing my analytical thinking and innovative approaches to complex problems. Until then, I'm all in—learning, building.
Learning Journey
Machine Learning Fundamentals
Mastered file handling, stemming, lemmatization, stopwords, POS tagging, one-hot encoding (OHE), bag of words (BoW), n-grams, TF-IDF, Word2Vec, Word2Vec CBOW, artificial neural networks (ANN), and recurrent neural networks (RNN) with forward propagation.
Natural Language Processing
Currently diving deep into advanced NLP techniques, building upon completed RNN foundations to master language understanding and generation models.
Large Language Models
Advanced understanding of LLM architecture, fine-tuning, and deployment strategies for production-ready AI applications. Currently implementing advanced techniques.
MLOps Pipeline
Near completion of end-to-end ML deployment, monitoring, and maintenance in production environments with modern DevOps practices and automated workflows.
Web Development
Temporarily paused web development to focus on CS50X and Machine Learning. Plan to resume and complete within 6 months while managing other commitments.
CS50X Harvard Course
Currently progressing through Harvard's CS50X to strengthen computer science fundamentals and problem-solving approaches.
Technical Skills
Programming Languages
AI & Machine Learning
Tools & Frameworks
Experience & Achievements
Diploma in Computer Engineering
Currently pursuing Diploma in Computer Engineering, building strong foundation in programming fundamentals, computer science principles, and software development. This provides the technical groundwork for advancing into AI and Data Science specialization.
AI Engineer Intern - Stark Technologies Media Services
Building AI solutions for media technology applications — developing machine learning models, implementing generative AI systems, and shipping production features in the media tech space.
CS50X Introduction to Computer Science - Harvard University
Comprehensive course covering foundational computer science concepts, algorithms, data structures, and programming fundamentals to strengthen core CS knowledge.
GEN AI Using LangChain and HuggingFace
Advanced course in building Generative AI applications using LangChain and HuggingFace frameworks, focusing on practical implementation of AI solutions and modern development workflows.
Machine Learning and NLP - Comprehensive Course
Extensive training in Machine Learning techniques and Natural Language Processing, covering supervised and unsupervised learning, algorithms, and real-world applications.
7th Rank in College Ideathon
Achieved 7th position among hundreds of participants in the prestigious MIT WPU ideathon. Presented innovative AI-driven solutions demonstrating strong problem-solving capabilities, technical excellence, and creative thinking under competitive pressure.
Python Bootcamp - Complete Programming Foundation
Completed comprehensive Python bootcamp covering foundational to advanced programming concepts, data structures, algorithms, and hands-on experience with Python libraries such as Pandas, NumPy, and Matplotlib for data analysis.
Started AI & Data Science Journey
Began intensive learning journey in Python, machine learning fundamentals, and started building first AI projects. Developed passion for solving complex problems through technology and innovation.
Life Beyond Algorithms
Competitive Excellence
A track record of excellence spanning diverse competitive arenas, from intellectual olympiads to creative competitions. These achievements reflect my commitment to continuous learning and competitive spirit that drives me in both academics and personal pursuits.
Athletic Pursuits
From endurance running to precision skating, my athletic journey showcases versatility and dedication. Whether it's conquering marathon distances or gliding across ice, I bring the same determination that fuels my coding projects to physical challenges.
Musical Expression
Music serves as my creative outlet and stress reliever. Proficient in both electric and acoustic guitar, I find that the discipline required for musical mastery complements the logical thinking needed for programming, creating a perfect harmony between art and technology.
Want to know more about my journey?
Download my complete resume or return to the main portfolio to explore my projects and achievements.