Allena Venkata Sai Abhishek

AI Engineer at Lotus Interworks | Data Scientist | Computer Vision Engineer | Formerly at HPE, AAP, KPMG, VSP | Recognized on Google Scholar & Kaggle Master | Educated at LJMU, IIITB, GITAM, VIT

3.9

Years of Experience

Education

liverpool john moores university, iiit bangalore international institute of information technology bangalore, gitam deemed university, udacity, vit vellore institute of technology, bgkv saltlake kolkataindia, dav public school unit8 bbsr

Companies

lotus interworks, datadecode.ai, oniric apparels, kaggle, blaize, gandhi institute of technology management gitam university visakhapatnam, kpmg, softclique technologies, aam aadmi party, hewlett packard, niit, niit, visakhapatnam steel plant, rule life, taj animationsxp, nico info systems

Reach out to Allena Venkata Sai Abhishek via Email, InMail and SMS drip

by installing Chrome extension

Allena Venkata 's contact details

Email (Verified)

abhXXXXXXXXXXXXXXXXXXXXom

Github

avsXXXXXXXXXX23

Experience

2023 - Present
lotus interworks
CEO Office - AI Engineer
2023 - 2023
datadecode.ai
Generative AI Engineer
🞕 𝗥𝗼𝗹𝗲: Spearheaded research and development of advanced AI applications, utilizing customizable Large Language Models (LLMs) such as LangChain, StarCoder, Flair, and Llama2, along with integrating OpenAI's Azure API and AWS across multiple projects. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗦𝗲𝗰𝘂𝗿𝗲𝗕𝗹𝗮𝗻𝗸: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 𝗗𝗲-𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗲𝗿 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 𝗥𝗲𝗱𝗮𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘙𝘦𝘥𝘢𝘤𝘵𝘪𝘰𝘯 𝘈𝘤𝘤𝘶𝘳𝘢𝘤𝘺: Enhanced redaction accuracy by 47%, processing over 5,000 documents daily. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘦𝘱𝘭𝘰𝘺𝘮𝘦𝘯𝘵 𝘌𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺: Reduced deployment time by 40% through Docker containerization and deployment on GCP Cloud Run via Vertex AI Workbench. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘜𝘐/𝘜𝘟 𝘋𝘦𝘴𝘪𝘨𝘯: Improved user experience and data security with a designed intuitive UI/UX. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‣ 𝘕𝘓𝘗/𝘕𝘓𝘜 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯: Integrated advanced NLP and NLU to boost data interpretation. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‣ 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘌𝘯𝘩𝘢𝘯𝘤𝘦𝘮𝘦𝘯𝘵: Implemented stringent security measures for data protection. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗦𝗲𝘀𝘀𝗶𝗼𝗻𝗦𝗮𝗴𝗲: 𝗠𝗲𝗲𝘁𝗶𝗻𝗴 𝗔𝗜 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗔𝗽𝗽 𝗳𝗼𝗿 𝗔𝗴𝗲𝗻𝗱𝗮, 𝗠𝗶𝗻𝘂𝘁𝗲𝘀, 𝗮𝗻𝗱 𝗔𝗰𝘁𝗶𝗼𝗻 𝗜𝘁𝗲𝗺𝘀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘰𝘤𝘶𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯 𝘈𝘐 𝘈𝘤𝘤𝘶𝘳𝘢𝘤𝘺: Achieved 96% accuracy in generating meeting documents from transcripts. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘗𝘳𝘰𝘤𝘦𝘴𝘴𝘪𝘯𝘨 𝘌𝘯𝘩𝘢𝘯𝘤𝘦𝘮𝘦𝘯𝘵: Increased token processing capacity from 3,000 to 14,000 per request. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘊𝘭𝘰𝘶𝘥 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯: Seamlessly integrated with multiple cloud services for scalable deployment. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘜𝘴𝘦𝘳 𝘌𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦: Developed user-friendly interfaces that simplify meeting management.
2022 - 2023
oniric apparels
Data Scientist
2022 - 2022
kaggle
Kaggle Master
2021 - 2022
blaize
Research And Development Engineer
🞕 𝗥𝗼𝗹𝗲: Served as a key AI developer & researcher at Blaize, leading initiatives to create industry's 1st open & code-free AI software platform for full End-to-End Edge AI life cycle. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗕𝗹𝗮𝗶𝘇𝗲 𝗔𝗜 𝗦𝘁𝘂𝗱𝗶𝗼: 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆'𝘀 𝟭𝘀𝘁 𝗳𝘂𝗹𝗹 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗘𝗱𝗴𝗲 𝗔𝗜 𝗹𝗶𝗳𝗲 𝗰𝘆𝗰𝗹𝗲 𝗼𝗽𝗲𝗻 & 𝗰𝗼𝗱𝗲-𝗳𝗿𝗲𝗲 𝗔𝗜 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 ‎ ‎ ‎ ‎ ● 𝗜𝗺𝗮𝗴𝗲 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗟𝗶𝗯𝗿𝗮𝗿𝘆 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘋𝘦𝘴𝘪𝘨𝘯𝘦𝘥 𝘈𝘗𝘐: Built a custom, efficient Image Augmentation Library API using Flask-restful. ‎ ‎ ‎ ‎ ‎‎ ‎ ‎‎ ‎‎‣ 𝘊𝘰𝘴𝘵 𝘙𝘦𝘥𝘶𝘤𝘵𝘪𝘰𝘯: Focused on low computational cost to enhance system efficiency. ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎‎‣ 𝘗𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘖𝘱𝘵𝘪𝘮𝘪𝘻𝘢𝘵𝘪𝘰𝘯: Enhanced processing speeds for better performance. ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‎ ‣ 𝘛𝘦𝘴𝘵𝘪𝘯𝘨 & 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯 : Rigorously unit tested & integrated the API into AI Studio, enhancing functionality. ‎ ‎ ‎ ‎ ● 𝗚𝗲𝘀𝘁𝘂𝗿𝗲 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹: ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘔𝘰𝘥𝘦𝘭 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵: Created Adv. Gesture Recognition model with GRU, LSTM, & Transfer Learning. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘖𝘱𝘵𝘪𝘮𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘧𝘰𝘳 𝘙𝘦𝘢𝘭-𝘛𝘪𝘮𝘦: Optimized for 30 FPS video input, recognizing five distinct gestures. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎ ‎‎‣ 𝘌𝘯𝘩𝘢𝘯𝘤𝘦𝘥 𝘜𝘴𝘦𝘳 𝘊𝘰𝘯𝘵𝘳𝘰𝘭: Enabled gesture-based laptop control, removing the need for physical peripherals. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‎ ‣ 𝘜𝘐 𝘐𝘮𝘱𝘳𝘰𝘷𝘦𝘮𝘦𝘯𝘵: Boosted accessibility and user interaction, enhancing overall usability. ‎ ‎ ‎ ‎ ● 𝗗𝗮𝘁𝗮 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢𝘴𝘦𝘵 𝘛𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯: Converted existing datasets to COCO format for enhanced compatibility. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘔𝘦𝘵𝘢𝘥𝘢𝘵𝘢 𝘌𝘯𝘩𝘢𝘯𝘤𝘦𝘮𝘦𝘯𝘵: Generated metadata to enhance dataset utility and ML integration.
2020 - 2022
gandhi institute of technology management gitam university visakhapatnam
Research Scholar - Deep Learning, Machine Learning & Data Science
🞕 𝗠𝗧𝗲𝗰𝗵 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗧𝗼𝗽𝗽𝗲𝗿) 🞕 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝟳 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗽𝗮𝗽𝗲𝗿𝘀 𝗶𝗻 𝗦𝗰𝗼𝗽𝘂𝘀-𝗶𝗻𝗱𝗲𝘅𝗲𝗱 𝗷𝗼𝘂𝗿𝗻𝗮𝗹𝘀 ‎ ‎ ‎ ● 𝙄𝙅𝙍𝘼𝙍: “Augmented Balanced Image Dataset Generator Using Augstatic Library” ‎‎ ‎ ‎ ‎ ● 𝙅𝙀𝙏𝙄𝙍: “AugStatic - A Light-Weight Image Augmentation Library” ‎ ‎ ‎ ● 𝙄𝙅𝙍𝙀𝘼𝙈: “Deep PCB to coco convertor” ‎ ‎ ‎ ● 𝙄𝙅𝙀𝙍𝙏: “Detectron2 Object Detection & Manipulating Images using Cartoonization” ‎ ‎ ‎ ● 𝙄𝙅𝘾𝙍𝙏: “Resnet18 Model with Sequential Layer for Computing Accuracy on Image Classification Dataset” ‎ ‎ ‎ ● 𝙄𝙅𝘼𝙍𝙀𝙏: “Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation” ‎ ‎ ‎ ● 𝙄𝙅𝙄𝙍𝙏: “Augmentation Techniques Analysis with the removal of Class Imbalance using PyTorch for Intel Scene Dataset”
2020 - 2020
kpmg
Artificial Intelligence Engineer
🞕 𝗥𝗼𝗹𝗲: Engaged in advanced analytical modeling and AI-driven application development, focusing on predictive modeling for customer retention and medical diagnostic enhancements. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗖𝗵𝘂𝗿𝗻 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗧𝗲𝗹𝗲𝗰𝗼𝗺 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘈𝘯𝘢𝘭𝘺𝘴𝘪𝘴: Analyzed customer-level data from a leading telecom firm. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘔𝘰𝘥𝘦𝘭 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵: Built precision predictive models for churn risk identification. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘐𝘯𝘥𝘪𝘤𝘢𝘵𝘰𝘳 𝘐𝘥𝘦𝘯𝘵𝘪𝘧𝘪𝘤𝘢𝘵𝘪𝘰𝘯: Identified critical indicators contributing to customer churn. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘙𝘪𝘴𝘬 𝘚𝘦𝘨𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯: Segregated high-risk customers effectively. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘐𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯: Enabled proactive customer retention strategies. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗠𝗲𝗹𝗮𝗻𝗼𝗺𝗮 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗔𝗽𝗽: 𝗘𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗗𝗲𝗿𝗺𝗮𝘁𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜 ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘔𝘰𝘥𝘦𝘭 𝘊𝘳𝘦𝘢𝘵𝘪𝘰𝘯: Developed a custom CNN model achieving a 91.75% accuracy rate. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘙𝘦𝘢𝘭-𝘵𝘪𝘮𝘦 𝘗𝘳𝘰𝘤𝘦𝘴𝘴𝘪𝘯𝘨: Optimized the model to evaluate images at 30 fps. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘪𝘢𝘨𝘯𝘰𝘴𝘵𝘪𝘤 𝘌𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺: Reduced manual effort needed in melanoma diagnosis. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘈𝘗𝘐 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯: Seamlessly integrated the model into an API for use by dermatologists. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘜𝘴𝘦𝘳 𝘐𝘮𝘱𝘢𝘤𝘵: Enhanced diagnostic workflows and improved early melanoma detection rates.
2019 - 2020
softclique technologies
Deep Learning Engineer
🞕 𝗥𝗼𝗹𝗲: Engaged in a virtual task-based internship focusing on Data Science and Web Development at Softclique Technologies Pvt. Ltd., in partnership with Yeag Technologies and Refer Hiring. Gained hands-on experience in Python programming for data science and Java-based web development integrating SQL and data analytics. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗨𝘁𝗶𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 ‎ ‎ ‎‎ ‎ ● 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄: ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘗𝘳𝘰𝘨𝘳𝘢𝘮𝘮𝘪𝘯𝘨: Leveraged Python to built & implemented data models ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘈𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘚𝘬𝘪𝘭𝘭𝘴: Applied statistical techniques and ML algorithms to extract & interpret data insights. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘗𝘳𝘰𝘣𝘭𝘦𝘮-𝘚𝘰𝘭𝘷𝘪𝘯𝘨: Solved complex data-related problems to boost data-driven decision-making. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗝𝗮𝘃𝗮-𝗯𝗮𝘀𝗲𝗱 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗦𝗤𝗟 & 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 ‎ ‎ ‎ ‎ ● 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄: ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵: Developed a Java-based web application utilizing SQL for database management. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯: Integrated data analytics to improve the functionality & UX of the web application. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎ ‎‎‣ 𝘐𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯: Employed adv. SQL queries & Java to enhance the backend data processing capabilities. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‎ ‣ 𝘜𝘴𝘦𝘳 𝘐𝘯𝘵𝘦𝘳𝘧𝘢𝘤𝘦 𝘋𝘦𝘴𝘪𝘨𝘯: Created an intuitive UI that simplifies complex data interactions for users.
2019 - 2019
aam aadmi party
Data Scientist
🞕 𝗥𝗼𝗹𝗲: As a key member of the Data Analytics Cell for a national political party, utilized advanced data extraction and analysis techniques to enhance marketing campaign strategies and decision-making processes. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗣𝗼𝗹𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀: ‎ ‎ ‎ ‎ ● 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘛𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘗𝘳𝘰𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺: Leveraged Python, Numpy & Matplotlib for efficient data extraction & analysis. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘏𝘢𝘯𝘥𝘭𝘪𝘯𝘨: Streamlined the data handling process, ensuring accurate and timely analyses. ‎ ‎ ‎ ‎ ● 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁: ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘈𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘢𝘭 𝘗𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘉𝘰𝘰𝘴𝘵: Boosted campaign success rates by 18% using targeted big data analytics. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘚𝘵𝘳𝘢𝘵𝘦𝘨𝘪𝘤 𝘐𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘌𝘹𝘵𝘳𝘢𝘤𝘵𝘪𝘰𝘯: Identified crucial audience factors through statistical analysis. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘗𝘳𝘦𝘴𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯: Presented complex data in accessible formats, utilizing Python for clear, impactful data presentation in graphs and charts, facilitating clear and effective communication to stakeholders.
2019 - 2019
hewlett packard
Deep Learning Researcher
🞕 𝗥𝗼𝗹𝗲: Played a key role in enhancing machine learning capabilities for HPE’s AI studio platform, focusing on advanced model development and deployment for object detection and image classification. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁: ‎ ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Model Innovation: Created a custom NN model, significantly enhancing object detection accuracy. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Accuracy Improvement: Improved model accuracy by 10% over traditional CNN & ResNet18 models. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Dataset Optimization: Optimized the model across multiple datasets, enhancing detection accuracy. ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Detection Capabilities: Enhanced the model's ability to detect objects more effectively. ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺ 🞕 𝗠𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗳𝗼𝗿 𝗜𝗺𝗮𝗴𝗲 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Pipeline Development: Deployed an efficient machine learning pipeline for image classification. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Explainable AI: Integrated Explainable AI to render insights from image classification interpretable. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Decision Support: Boosted decision-making with clear, actionable AI-derived insights. ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Operational Efficiency: Improved speed & accuracy in image analysis & classification, enhancing efficiency.
2019 - 2019
niit
Digital Marketing workshop
2019 - 2019
niit
Education Training
I have enrolled for Core java, Advance java and python for Data Science & Exploration certifications & participated and won 1st prizes in hackathons on a website created based on the front-end development on 06 June 2019. ==>And the GitHub link is- https://github.com/avs-abhishek123/MyWebsite-Frontend
2019 - 2019
visakhapatnam steel plant
Machine Learning Engineer
🞕 𝗔𝗜 𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗦𝘁𝗲𝗲𝗹 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗳𝗶𝘁 𝗠𝗮𝗿𝗴𝗶𝗻 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 ‎ ‎ ‎ ● 𝗠𝗟 𝗯𝗮𝘀𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: ‎ ‎ ‎‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘜𝘵𝘪𝘭𝘪𝘻𝘢𝘵𝘪𝘰𝘯: Leveraged 2 years of steel production & revenue data for in-depth analysis. ‎ ‎ ‎ ‎‎ ‎‎ ‎‎ ‎‎‣ 𝘈𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯: Employed advanced ML algorithms to predict & enhanced profit margins. ‎ ‎ ‎ ‎ ‎‎‎ ‎‎ ‎‎‣ 𝘒𝘦𝘺 𝘐𝘯𝘴𝘪𝘨𝘩𝘵𝘴: Identified crucial levers for boosting profitability through detailed data analytics. ‎ ‎ ● 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘃𝗶𝗮 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘞𝘦𝘣𝘴𝘪𝘵𝘦 𝘊𝘳𝘦𝘢𝘵𝘪𝘰𝘯: Developed a website dedicated to showcasing the findings from the analysis. ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘌𝘧𝘧𝘦𝘤𝘵𝘪𝘷𝘦 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯: Improved UI/UX to clearly communicate analytical insights & actionable recommendations to stakeholders.
2019 - 2019
rule life
Content Creator & Digital Marketing
Wroked for few YouTube Channels in Content creation & Social Media Marketing
2018 - 2018
taj animationsxp
Deep Learning Specialist
Successfully created an efficient Static website that was a clone of Facebook & Efficiently developed object detection deep learning-based model using YOLO v2. Worked on a front end web development project using static data and making the pages dynamic.
2017 - 2017
nico info systems
Data Scientist
1. Successfully developed a Credit card fraud Detection application by using various Clustering & Machine Learning concepts.

Experience

150 Skills

Algorithms

Amazon Web Services (AWS)

Analytical Skills

Application Programming Interfaces (API)

Artificial Intelligence

Artificial Intelligence (AI)

Azure

Bash

C++

Cascading Style Sheets (CSS)

Communication

Computer Science

Computer Vision

Containerization

Convolutional Neural Networks (CNN)

CUDA

Data Analysis

Data Science

Data Scientist

Data Structures

Database Management System (DBMS)

DBMS

Deep Learning

Django

Docker

Front-end Design

Front-end Development

Generative AI

Git

Github

GitHub

Google Cloud Platform (GCP)

Guitar Playing

Hadoop

HTML

html

Image Processing

Java

JavaScript

jQuery

JSON

Keras

language models

Large language models (LLM)

Leadership

Learning

Linux

Machine Learning

Machine Learning (ML)

Management

Microservices

Microsoft Azure

Microsoft Excel

Microsoft Office

Microsoft PowerPoint

Microsoft Word

MongoDB

MySQL

Natural Language Processing (NLP)

Network Security

Networking

Neural Networks

NLU

Node.js

NumPy

Object Detection

Object detection

Object-Oriented Programming (OOP)

OpenCV

Pandas

Pandas (Software)

Pattern Recognition

Predictive Analytics

Predictive Modeling

Project Management

Python

PyTorch

Pytorch

r programming

React.js

ReactJS

Regression Models

Reinforcement Learning

Research

Research and Development (R&D)

Research Scientist

REST API

Robotic Process Automation (RPA)

Scikit

Scikit-Learn

security

SQL

Statistics

statistics

Team Leadership

TensorFlow

Tensorflow

User Experience

User Experience (UX)

Vision

Web

web development

Web Development

WinSCP

Written Communication

Education

2022 - 2024
liverpool john moores university
Master of Science - MS
Machine Learning & Artificial Intelligence Spl. in Advanced Computer Vision and Advanced NLP
2022 - 2023
iiit bangalore international institute of information technology bangalore
Advanced Postgraduate Degree
ML & AI with specialization in Deep Learning
2020 - 2022
gitam deemed university
Master of Technology - MTech
Data Science
2018 - 2018
udacity
Web Development Nanodegree
Computer Science
2016 - 2020
vit vellore institute of technology
Bachelor of Technology - BTech
Computer Science
2012 - 2015
bgkv saltlake kolkataindia
Student
Science
2003 - 2011
dav public school unit8 bbsr
Student
General Studies

Get contact details instantly on installing the chrome extension. 👉 50 free credits

Weekday, Inc

2261 Market Street #4335 San Francisco, CA 94114

+1 (561) 250 8998

Allena Venkata Sai Abhishek

AI Engineer at Lotus Interworks | Data Scientist | Computer Vision Engineer | Formerly at HPE, AAP, KPMG, VSP | Recognized on Google Scholar & Kaggle Master | Educated at LJMU, IIITB, GITAM, VIT

3.9

Years of Experience

Education

Companies

Reach out to Allena Venkata Sai Abhishek via Email, InMail and SMS drip

Allena Venkata 's contact details

Experience

2023 - Present

lotus interworks

2023 - 2023

datadecode.ai

2022 - 2023

oniric apparels

2022 - 2022

kaggle

2021 - 2022

blaize

2020 - 2022

gandhi institute of technology management gitam university visakhapatnam

2020 - 2020

kpmg

2019 - 2020

softclique technologies

2019 - 2019

aam aadmi party

2019 - 2019

hewlett packard

2019 - 2019

niit

2019 - 2019

niit

2019 - 2019

visakhapatnam steel plant

2019 - 2019

rule life

Wroked for few YouTube Channels in Content creation & Social Media Marketing

2018 - 2018

taj animationsxp

Successfully created an efficient Static website that was a clone of Facebook & Efficiently developed object detection deep learning-based model using YOLO v2. Worked on a front end web development project using static data and making the pages dynamic.

2017 - 2017

nico info systems

1. Successfully developed a Credit card fraud Detection application by using various Clustering & Machine Learning concepts.