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Srijit Panja

@srijitpanja

Generative AI Lead at Innovapptive

Hyderabad, India

https://www.linkedin.com/in/srijit-panja-7473031a7/

InnovapptiveCochin University of Science and Technology

Srijit Panja is an experienced AI and ML professional specializing in Generative AI, NLP, and building complex data solutions. He has expertise in developing RAG architectures, optimizing AI workflows, and implementing advanced models using open-source and proprietary LLMs. His experience spans e-commerce, healthcare, and industrial automation, focusing on data-driven insights and operational efficiency.

Experience

Generative AI Lead

Innovapptive

Full-time•Sep 2024 - Present•Hyderabad, India

Led the enhancement of AI workflows for factory operations, improving efficiency using RAG architecture and Selective Prompt Optimization (SPO). Directed the digitization of manuals and forms, developing a two-flow form-JSON generation process using Sentence Transformer and Chroma. Developed a system to clone paper-based forms by integrating an Image+Prompt input pipeline with a Vision-LLM.

ML Engineer - Consulting

Saras Analytics

Full-time•Jun 2023 - Sep 2024•Hyderabad, India

Built a Demand Forecasting Model for health supplements using non-linear regression and developed an E-commerce Media Mix Modelling (MMM) capability using Autoregressive modeling and Bayesian optimization. Led the development of a conversational chatbot (Daton Product Assistant) using RAG with Langchain and Llama-2, and developed a POC for automated data sourcing and dashboard creation using modified-RAG with schema context to VertexAI.

Data Scientist

Cognida.ai

Full-time•Oct 2022 - Jun 2023•Hyderabad, India

Co-led an NLP chat-bot for a health insurance client using GPT-3.5 and a dual-database architecture (Qdrant/CouchDB). Developed an API component for an QnA pipeline using Haystack and fine-tuning DistilBERT. Developed a POC for structured data extraction from documents using DocumentAI, Tesseract OCR, and LayoutLM.

Software Engineer G2 - Data Science

Infogain

Full-time•Aug 2021 - Oct 2022•Bangalore, India

Developed an end-to-end ML solution to predict patient no-shows using XGBoost and Random Forest. Engineered a data-driven clustering solution for high-risk patient segments using K-Means and hierarchical clustering. Contributed to a self-service BI tool by generating synthetic text data using a Variational Autoencoder (VAE).

Volunteer Data Scientist

United Nations Development Programme - SDG AI Lab

Volunteer•Jul 2021 - Sep 2021•Istanbul, Turkey

Represented India in the SDG AI Lab initiative.

Education

Cochin University of Science and Technology

Master’s (M.Sc.) in Computer Science

Machine Intelligence

Jan 2019 - Jan 2021•Grade: First Class with Distinction

GPA: 8.65

University of Calcutta

Bachelor’s (B.Sc.)

Math + Phy + C.S

Jan 2015 - Jan 2019•Grade: First Division

Score: 62.08/100

Skills

Python
R
SQL
Machine Learning
Deep Learning
NLP
Prompt Engineering
Data Science
Pandas
Scikit-Learn
TensorFlow
Keras
BERT
Transformers
RAG (Retrieval-Augmented Generation)
LLMs (Llama-3.1, GPT-4, etc.)
Vector Databases (Chroma, Pinecone, QDrant)
Streamlit
Docker
Cloud Computing (GCP, AWS)
Time Series Analysis
Statistical Modeling
Vision-LLM
OCR (Tesseract)
Image Processing