Himanshu `

Co-Founder

Noida, Uttar Pradesh, India1 yr 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Lead AI Engineer driving LLM solutions and enterprise automation.
  • Expertise in Generative AI and scalable AI systems.
  • Proven track record in building production-grade AI applications.
Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in enterprise automation and machine learning solutions.

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Skills

Core Skills

Generative AiLarge Language Models (llm)Machine LearningNatural Language Processing (nlp)

Other Skills

StreamlitFastAPIMongoDBFine-tuned LLMsPython (Programming Language)Machine Learning AlgorithmsLangChainLLMsNLPMLflowDeep LearningDatabasesPythonOpenCVLong Short-term Memory (LSTM)

About

I’m a Lead AI Engineer at Clarity2Cloud, driving end-to-end development of LLM solutions, agentic AI systems, and scalable enterprise automation. I lead architecture, fine-tuning pipelines, evaluation frameworks, and deployment workflows to build production-grade AI systems that solve real business problems, not just prototypes. Previously as a Founding Full Stack AI Engineer at Trigear Digital, I owned the complete AI stack across multiple products including personalized AI tutoring systems, multi-agent automation frameworks, resume intelligence engines, and scalable microservice-based LLM applications. My expertise includes: Generative AI & LLMs: Fine-tuning, RAG, LangChain/LangGraph, agentic workflows, evaluation, model compression & inference optimization Machine Learning & NLP: Classical ML, deep learning, embeddings, document intelligence, enterprise search Engineering & MLOps: FastAPI, Docker, Python, FAISS, DVC, MLflow, CI/CD, microservices, scalable deployments Cloud & Infra: AWS ecosystem (Lambda, EC2, API Gateway, CloudWatch, S3, SageMaker), secure auth with Keycloak, role-based access control With a strong foundation in Data Structures and Algorithms (LeetCode Top 6%, Codeforces Specialist) and a product-first engineering mindset, I focus on building AI systems that are: 🔹 Reliable 🔹 Scalable 🔹 Measurable 🔹 Used in production I’m deeply passionate about transforming research-grade AI into real systems with measurable impact, while continuously learning, experimenting, and pushing boundaries.

Experience

1 yr 5 mos
Total Experience
8 mos
Average Tenure
11 mos
Current Experience

Trigear digital

Software Engineer - AI/ML

Jun 2025Present · 11 mos · Noida, Uttar Pradesh, India · On-site

  • Architected and deployed a personalized AI tutor platform using Streamlit, FastAPI, and MongoDB, delivering intelligent learning experiences with real-time progress tracking for 2000+ active users.
  • Engineered automated resume parsing & skill extraction pipeline leveraging fine-tuned LLMs to generate dynamic learning curricula tailored to user expertise and career objectives.
  • Developed scalable microservices architecture with secure authentication and advanced analytics that intelligently adapts to individual learning patterns and delivers data-driven insights.
  • Designed and optimized MongoDB database schema for efficient large-scale storage of user profiles, learning trajectories, and AI-generated content, enabling sophisticated personalization algorithms.
Generative AILarge Language Models (LLM)

Wayspire

Machine Learning Engineer

Dec 2024Jun 2025 · 6 mos · Gurugram, Haryana, India · On-site

  • Implemented production-grade Retrieval-Augmented Generation (RAG) pipelines using LangChain, vector databases, and LLMs, improving contextual accuracy and response quality for enterprise applications.
  • Engineered optimized BM25-based hybrid ranking algorithms integrated with vector search, enhancing document retrieval precision by 35% across large-scale text corpora.
  • Built an AI-powered Resume Parsing Application for the HR department, integrating Generative AI and NLP to automate skill, education, and experience extraction, reducing manual screening time by 80%.
  • Designed robust data pipelines and implemented MLflow-based model versioning & tracking, ensuring reproducibility, streamlined deployment, and efficient experiment management
Python (Programming Language)Machine Learning AlgorithmsMachine Learning

Amazon

Amazon ML Summer School 2024

Jul 2024Aug 2024 · 1 mo · India · Remote

  • Selected among top students nationwide to participate in Amazon's intensive ML program.
  • Applied machine learning and deep learning algorithms in hands-on projects using real-world datasets.
  • Collaborated with Amazon researchers to understand industry-grade ML pipelines, model optimization, and cloud deployment practices.
Machine LearningDeep Learning

Education

J.C. Bose University of Science and Technology, YMCA

Bachelor of Technology - BTech — Computer Science with specialization in Data Science

Nov 2021Jul 2025

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