Srijan Tripathi Email & Phone Number

Delhi, India

● Developed a CNN model for handwritten name recognition, processing 400k+ names from charity projects. Implemented data preprocessing, including normalisation and patch extraction. Achieved 81.7% accuracy using a multi-layer architecture with increasing filter counts and decreasing kernel sizes for optimal feature extraction.● Built and deployed an edtech GenAI based Chatbot using Llama-3 70B Instruct, an open-source AI model renowned for its cost-efficient performance and recent advancements in natural language processing.● Applied advanced GenAI concepts and technologies, including Retrieval Augmented Generation (RAG), Vector Databases (FAISS, Pinecone), and Fine-tuning, to enhance project outcomes.

Delhi, India

● Redesigned and tweaked embedded C code for an Arduino-based Bone Mass Density prototype, optimising data collection and analysis. This resulted in 40% reduction in testing time and improved accuracy.● Proposed and augmented a regression equation with 2 variables for bone mass density using voltages from NIR LEDs.● Designed and executed a Bone Mass Density project dashboard through extensive research (45+ papers/journals). Presented findings at the Global Bio-India Summit 2023.

● Stored and retrieved data from Amazon S3 with a 99.9% success rate.● Configured IAM roles and policies successfully implementing the principle of least privileges for 5 team members.● Implemented auto-scaling for EC2 instances and serverless functions.● Used terraform to manage and automate the configuration of AWS resources, enhancing infrastructure as code practices.

● Worked with reporting managers, business heads, and internal teams to capture data and presentinsights.● Collated, Interpreted data, analysed results using statistical techniques and generated dashboards.● Identified, cleaned, analysed, and interpreted data to produce trends or patterns in complex data sets.● Worked with management to prioritise business and information needs

Delhi, India

● Built and evaluated a Machine Learning model with an accuracy of 98.3% for Malware DetectionAnd Protection software to identify good and bad process states● Automated processes and recorded data increasing the size of the dataset from 948 incidents to23563 incidents● Optimized the dataset and identified key processes

Dubai, United Arab Emirates

● Implemented data preprocessing and wrangling techniques in multiple predictive projects, reducing model development time by 30%.● Introduced automation scripts using apache airflow, leading to a 20% increase in data analysis efficiency.● Participated in the Deployment of Customer Segmentation model resulting in 20% improvement in personalised marketing effectiveness compared to original methods.

● Created 90+ content for the official website, advertisement banners, etc● Collected client reviews and developed Testimonials● Helped with multiple collaborations and revenue planning in the absence of finance leads

Bachelor Of Technology - Btech

Education record