
AI/ML Engineer · Open to opportunities
Decoding complexity.
Delivering clarity


About Me
Mritunjay Pandey
Role Worked
Data Scientist, AI Engineer, ML Engineer, SFT & RLHF Prompt Engineer
Relevant Experience in AI
1.8+ years
Education
National Institute of Technology (NIT) Jalandhar (B.Tech, 2025)
Skills
Supervised & Unsupervised Machine Learning, Deep Learning, Natural Language Processing, Sequence Models (Transformers), LLMs, RAG, (SQL, Pandas, PyTorch, FAISS, Azure ML, Hugging Face)
Strong understanding of fundamentals with mathematics.
Work Experience
My professional journey.
Data Scientist - GET
Aditya Birla GroupMumbai, India
Aug 2025 — Present
Highlights
- Assigned to architect a Fashion Recommendation System for ABFRL's planned D2C platform expansion designed for AI-driven personalization, semantic search, and cold-start discovery across an 826K-item catalog.
- Fine-tuned a Siamese MPNet bi-encoder with Multiple Negatives Ranking Loss (MNRL) on 50K contrastive pairs derived from 2.5M+ customer interactions, improving Recall@10 by 153.8% over BM25 baseline.
- Optimized production inference using ONNX INT8 quantization and FAISS HNSW, cutting latency by 81% (32 ms to 6.1 ms), reducing model size 4x, and achieving 163 QPS with efficient ANN retrieval.
- Deployed the system on Hugging Face Spaces with A/B benchmarking dashboard, sustaining end-to-end latency under 50 ms SLA. Currently serving as a working prototype for ABFRL's D2C recommendation layer.
Featured Projects
A selection of my recent work.
My Skills
The stack I build with.
Technologies & tools I work with
Machine Learning
05Supervised & Unsupervised LearningDeep LearningNLPTime SeriesTransformers (BERT, GPT)
Generative AI
08LLMs (GPT)LLaMAMistralRAG PipelinesFine-Tuning (LoRA)LangChainAI AgentsVector Databases (FAISS)
Toolkit
09PythonSQLPyTorchPandasScikit-LearnHugging FaceAzure MLGitStreamlit
Research Paper
Domain-Adaptive and Scalable Dense Retrieval for Content-Based Recommendation
Pandey, M. · Journal of the ACM (JACM), submitted/under review [Manuscript ID: JACM-2026-002]
— Notable Milestones —
Key achievements.
A snapshot of my journey and impact.
— Certifications —
Continuous learning.
Investing in knowledge. Building the future.

