HEMANT KUMAR

Consultant

Delhi, India7 yrs 2 mos experience

Highly StableAI Enabled

Key Highlights

Expert in Generative AI and LLM fine-tuning.
Led innovative projects in defense and audio processing.
Strong background in machine learning and data analysis.

Stackforce AI infers this person is a Defense and AI technology expert with strong capabilities in machine learning and audio processing.

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Skills

Core Skills

Artificial Intelligence (ai)Natural Language Processing (nlp)Computer VisionMachine Learning

Other Skills

AI AgentsGitSupervised Fine-TuningDirect Preference OptimizationReinforcement Learning from Human FeedbackLangGraphLangSmithCrewAIGoogle AI StudioOpenAI APIYOLOv8Object DetectionAudio Signal ProcessingHugging FaceSQL

About

AI Research Engineer with 3+ years of experience specializing in cutting-edge Generative AI solutions, including Retrieval Augmented Generation (RAG) techniques, AI agents, and LLM fine-tuning. Proficient in Prompt Engineering, ChatGPT, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and MLOps. Experienced in applying Generative AI to diverse domains, including: Recommendation systems: Creating personalized recommendations using techniques like collaborative filtering, content-based filtering, and hybrid approaches. Content generation: Generating high-quality text, images, and other media using generative models like GANs and VAEs. Natural language processing: Developing applications for tasks such as text summarization, question answering, and machine translation. Computer vision: Building systems for image and video analysis, including object detection, image classification, and image generation. Conversational AI: Creating chatbots and virtual assistants capable of engaging in natural language conversations. Sentiment analysis: Analyzing text to determine sentiment and emotion. Seeking opportunities to collaborate with top AI teams and contribute to impactful projects that leverage RAG to enhance LLM capabilities, develop intelligent AI agents, and fine-tune models for specific tasks.

Experience

7 yrs 2 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 4 mos

Current Experience

Ey

Senior Consultant

Jan 2025 – Present · 1 yr 4 mos · India · Hybrid

Artificial Intelligence (AI)AI Agents

Wesee (naval r&d, ministry of defence)

Artificial Intelligence Engineer

Jun 2023 – Jan 2025 · 1 yr 7 mos · New Delhi

Fine-Tuned Large Language Model (LLM): Pioneered the development of a highly secure, confidential LLM tailored to naval applications. Employed advanced techniques such as Supervised Fine-Tuning, Direct Preference Optimization, and Reinforcement Learning from Human Feedback to achieve exceptional performance on query and summarization tasks.
Multi-Agent Researcher: Led a groundbreaking project to automate research processes using state-of-the-art tools like LangGraph, LangSmith, CrewAI, Google AI Studio, and OpenAI API. Successfully managed research stages from planning to publication, demonstrating expertise in multi-agent systems and AI-driven research.
Warship Detection and Classification: Developed a cutting-edge solution for detecting and classifying warships in large satellite images using YOLOv8 with Oriented Bounding Boxes. Contributed significantly to enhancing maritime security and surveillance.
Real-Time Audio Processing: Spearheaded a project focused on real-time audio processing, integrating and optimizing open-source models from Hugging Face. Achieved remarkable results in audio denoising, speaker recognition, translation, and transcription, demonstrating expertise in audio signal processing and AI-driven audio applications.

Natural Language Processing (NLP)Git

Collegedunia

Data Scientist

Mar 2020 – Jun 2023 · 3 yrs 3 mos · Gurugram, Haryana, India

A Data scientist with two years of experience in machine learning, deep learning and data analysis. Skilled in TensorFlow, PyTorch, MLOps, AWS and Python. Strong background in mathematics, statistics, data structure and algorithms.
Enhanced Product Recommendations: Developed and implemented machine learning algorithms to
optimize user product recommendations, improving relevance and engagement.
Data Analysis and Visualization: Conducted comprehensive data analysis and developed visualizations to
inform and support strategic business decisions.
Machine Learning Model Development: Trained and optimized models through feature engineering,
hyperparameter tuning, and model evaluation using TensorFlow, Keras, PyTorch, AWS, and MLOps
principles.

Machine LearningSQL

Loofre (k5 brand solutions pvt ltd)

Marketing Analyst

Feb 2019 – Feb 2020 · 1 yr · Noida, Uttar Pradesh, India

Measure performance of digital marketing campaigns and while working in a product team I came up with a strategy that increase the app downloads up to 10K.

CommunicationLeadership