Riddhi Jain

AI Researcher

India4 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and LLMs.
Proven track record in AI product development.
Strong experience in NLP and machine learning.

Stackforce AI infers this person is a skilled AI Engineer specializing in Generative AI and NLP solutions for enterprise applications.

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Skills

Core Skills

Generative AiLarge Language Models (llm)Natural Language Processing (nlp)Machine Learning

Other Skills

LangChainMicroservicesAzure OpenAIFastAPIDockerHugging FacePyTorchRegexDeep LearningOpenAIFlaskPineconePandasNumPyRESTful APIs

About

6.4+ Years of experience as an AI Engineer and emerging AI Architect with a proven track record in AI Services and AI Product development across enterprise use cases. • Experience in ML, DL, NLP, and LLMs using Python, Transformers, and cloud-native technologies like Azure OpenAI and AWS. • Strong hands-on exposure to embedded AI use cases, multimodal models (e.g., Gemini), and production-ready vector search implementations using FAISS, Pinecone, and Milvus. • Experience in Cognitive AI, Generative AI, Conversational AI solution implementation. • Experience in opensource LLM tuning and deployment, Model like LLaMA3, Mistral etc. • Experience in LLM model quantization and Hardware specification (GPU/VRAM/CPU/CORE) for fast LLM inference. • Experience in implementation of Large multimodal like Gemini etc. into application solution. • Experience in implementation of LLM models like Bert, chatGPT (OpenAI and other model), Gemini AI, LLaMA, LLaMA3. • Experience in Transfer Learning by using Google Bert Model and another custom model. • Experience in Model hyper parameter tuning and Model Training. • Experience in Model Training based big data using GPU/TPU Support etc. • Experience in Artificial Intelligence Libraries and Modules like NLTK, Spacy, coreNLP, Textblob, Scipy, scikit-learn, Tensorflow, Keras, pytorch, gensim, SymPy, nose, pypiwin32, scikit-image, COCO, YOLO, HRNet etc. • Experience in Python Libraries and Modules like matplotlib, numpy, pandas, openpyxl, docx, pptx, csv, linecache, pyautogui, pyhook, pywinauto, scipy, html5lib, py-translate, sys, os etc.

Experience

4 yrs 3 mos

Total Experience

1 yr

Average Tenure

Current Experience

Saksoft

AI Engineer

Jul 2025 – Dec 2025 · 5 mos

Led the migration of MCP (Managed Control Plane) Server from GPT-4 to GPT-5 using Azure OpenAI, improving scalability and inference efficiency
Designed and optimized prompt engineering strategies to significantly reduce token consumption while maintaining response quality
Implemented real-time token usage tracking (prompt, completion, total tokens) for cost monitoring and optimization
Built scalable LLM inference architecture using FastAPI and streaming APIs for enterprise AI workflows
Introduced summarization layers and context management to handle large multi-turn conversations within token limits
Tuned LLM parameters (temperature, max tokens, penalties) to achieve faster and more deterministic responses
Designed reusable prompt templates and system instructions aligned with GPT-5 reasoning behavior
Collaborated with cross-functional teams to define structured tool APIs and improve LLM-tool interaction workflows
Containerized services using Docker and deployed across DEV, QA, and PROD environments
Implemented logging and monitoring systems for performance tracking and cost analysis
Actively participated in Agile ceremonies, sprint planning, and technical documentation (JIRA, Confluence)

LangChainMicroservicesGenerative AILarge Language Models (LLM)

Apple

AI Engineer (Module-level AI Architect)

Mar 2025 – Jun 2025 · 3 mos · Hyderabad · Hybrid

Developed and optimized AI models for global address extraction used in large-scale mapping systems
Fine-tuned transformer-based models (MarkupLM, WebLM) using Hugging Face and PyTorch for entity extraction
Designed prompt-based extraction workflows using Gemini for parsing complex multilingual HTML data
Built high-quality training datasets using regex, fuzzy matching, and weak supervision techniques
Performed hyperparameter tuning to improve model accuracy (F1-score, precision, recall)
Integrated vector search solutions (FAISS, Chroma) for large-scale data retrieval and evaluation
Designed reusable AI components and deployed them within internal AI pipelines
Developed scalable data preprocessing pipelines using Pandas for structured and unstructured datasets
Managed Docker-based training and evaluation workflows for efficient resource utilization
Conducted benchmarking and evaluation across multiple geographies using internal tools
Collaborated with cross-functional AI teams for model validation, deployment, and performance improvements

LangChainMicroservicesNatural Language Processing (NLP)Machine Learning

Tp

AI Engineer

Dec 2023 – Feb 2025 · 1 yr 2 mos · Gurugram

Built enterprise-grade customer support chatbot platforms using LLMs, NLP, and microservices architecture
Integrated OpenAI models with LangChain to implement conversational AI and retrieval-based systems (RAG)
Designed and developed APIs using Flask to handle chatbot workflows and backend processing
Implemented conversational chains and function calling for dynamic and context-aware responses
Integrated vector databases (Pinecone) for semantic search and knowledge retrieval
Enabled seamless handoff from chatbot to live agents for enhanced customer experience
Connected chatbot systems with ERP and backend databases for real-time query resolution
Improved chatbot accuracy through prompt optimization and continuous testing
Collaborated with QA and business teams for requirement gathering and issue resolution
Delivered scalable and reusable business logic for enterprise AI solutions

Deep LearningLangChainNatural Language Processing (NLP)Generative AI

Cognizant

AI Engineer

Jul 2021 – Dec 2023 · 2 yrs 5 mos · India · Remote

Designed and developed AI/ML solutions for enterprise use cases across multiple domains
Built and trained machine learning and deep learning models for NLP and predictive analytics
Implemented end-to-end pipelines including data preprocessing, model training, and deployment
Applied transfer learning techniques using pre-trained models like BERT
Optimized model performance through hyperparameter tuning and evaluation metrics
Developed RESTful APIs to serve AI models in production environments
Worked with large-scale datasets using Pandas and NumPy for data processing
Collaborated with cross-functional teams for solution design and implementation
Ensured code quality through testing, debugging, and code reviews
Contributed to scalable and production-ready AI system design