Feb 2021 – Jun 2024 · 3 yrs 4 mos · Bangalore Urban, Karnataka, India · Hybrid

• Generative AI | RAG | LLM Fine-tuning
• Led development of critical components e.g., chunking strategy, query flow, search query expansion, contextual query rewriting & document reranking for retrieval augmented generation (RAG) Agent.
• Developing framework for component wise and end-to-end RAG evaluation, defining key metrics at each step.
• Enhanced the performance of retrieval and generation modules through advanced prompt engineering techniques such as chain-of-thought & few-shot prompting with special focus on improving answerability, groundedness, answer relevancy and reduction in hallucination.
• Developed customer POCs by fine-tuning state-of-the-art large language models (LLMs) e.g., Llama, T5 & BERT on domain specific use-cases for question answering, summarization, NER extraction & sentiment analysis.
• Utilized parameter efficient fine-tuning (PEFT) and quantization techniques e.g., LoRA, QLoRA for low memory and compute requirements during fine-tuning and inference.
• Time Series Forecasting
• Leveraged expertise in different forecasting algorithms including ARIMA, Prophet, Exponential Smoothing, LSTM Networks etc., to solve forecasting problems across diverse business domains.
• Led development of key features in data preprocessing pipeline, including data transformations such as data aggregation, stationarity, box-cox transformation, missing value imputation, outlier detection, seasonality detection, time series decomposition etc.
• Built a pipeline for automated best model selection for a given time series.
• Led several customer engagements, right from initial problem discussion to service onboarding.
• Optimisation
• Led end-to-end optimization projects in various domains, including procurement planning, bid allocation, nurse staffing, and fund allocation.
• Led projects from inception to completion, collaborating closely with stakeholders to understand business requirements and constraints, define objectives, and deliver impactful solutions.

May 2019 – Jan 2021 · 1 yr 8 mos · Noida Area, India

• Market Mix Modeling (MMM)
• Built market mix models for several brands, analysing the impact of marketing spends on sales and brand building.
• Consulted clients on optimal budget allocation across marketing channels using market mix optimization (MMO).
• Built dashboards showcasing response curves, value due-tos, sales decompositions & what-if scenarios simulation.
• Predictive Modeling
• Developed an XGBoost model for predicting failure probability of distribution transformers using sensor data.
• Led the project end-to-end from inception to final delivery – building the pipelines for data preprocessing, feature engineering, model building & model evaluation.
• Resume Recommendation Engine
• Built a resume recommendation engine to suggest top K resumes for a given job description in order of relevance.
• Developed a pipeline for document parsing, NER extraction, TF-IDF vectorization & similarity score calculation.

May 2018 – Aug 2018 · 3 mos · Remote

• Worked on developing operational resource allocation algorithms that minimize cost and delivery times for a freight operator.
• Modeling Langauge Used: MathProg
• Solvers: GLPSOL, Cbc, CPLEX

Mar 2018 – Apr 2019 · 1 yr 1 mo

• Taught mathematics to students preparing for IIT entrance, Olympiads and other engineering entrance exams.

May 2017 – Feb 2018 · 9 mos · Noida, Uttar Pradesh, India

• Taught mathematics to students preparing for IIT entrance and Mathematics Olympiads

Aug 2015 – Apr 2017 · 1 yr 8 mos · Gurgaon, Haryana, India

• Market research, competitor study, tender pricing optimization, best vendor selection, delivery time optimization