https://dream.weekday.works/redirectToHiringCopilotExtension/

Cheminformatics, Indian knowledge system, Computational Neuroscience, BCI, Computational Psychology, AI/ML, Cybersecurity

https://durgesgameta.github.io/portfolio/

Indian Institute of Technology Madras is one among the foremost institutes of national importance in higher technological education, basic and applied research. In 1956, the German Government offered technical assistance for establishing an institute of higher education in engineering in India. The first Indo-German agreement in Bonn, West Germany for the establishment of the Indian Institute of Technology at Madras was signed in 1959.

The Institute was formally inaugurated in 1959 by Prof. Humayun Kabir, Union Minister for Scientific Research and Cultural Affairs. The IIT system has sixteen Institutes of Technology. The first of these to be instituted are at Kharagpur (estb. 1951), Mumbai (estb. 1958), Chennai (estb. 1959), Kanpur (estb. 1959), Delhi (estb. 1961), Guwahati (estb. 1994) and Roorkee (estb. 1847, joined IITs in 2001).

IIT Madras is a residential institute with nearly 550 faculty, 8000 students and 1250 administrative & supporting staff and is a self-contained campus located in a beautiful wooded land of about 250 hectares. It has established itself as a premier centre for teaching, research and industrial consultancy in the country.

The Institute has sixteen academic departments and a few advanced research centres in various disciplines of engineering and pure sciences, with nearly 100 laboratories organised in a unique pattern of functioning. A faculty of international repute, a brilliant student community, excellent technical & supporting staff and an effective administration have all contributed to the pre-eminent status of IIT Madras. The campus is located in the city of Chennai, previously known as Madras. Chennai is the state capital of Tamilnadu, a southern state in India.

Transition Justice and the International Criminal Court

Modeling EEG data using algebraic topology and developing classification models. EEG data was collected during a cognitive experiment.

- Contributed to News recommendation system
   Used SQS, Neo4j, Docker, Flask, Kubernetes
- Designed a chatbot using Dialogflow and Firebase database.
- Designed load testing app using Locust.

At Abzooba (www.abzooba.com), our mission is to reduce cognitive overload within enterprises by augmenting Human Intelligence with Machine Intelligence, effectuating smarter and more efficient decision making. 

We are a dynamic team of data scientists from IITs and premier institutes, passionate about providing the highest quality analytics products and services using modern Artificial Intelligence and Machine Learning techniques to solve problems existing within organizations.

We have Clients ranging from CMMi Level 5 Companies to Healthcare, Finance & Retail giants in the United States and other parts of the world.

Whether it’s optimizing discounts, identifying sentiments, detecting health care billing imbalances or decreasing the rate of defaulters, Abzooba’s XPRESSO.AI platform enables your business to leverage data, both structured and unstructured, and helps you grow.

Abzooba’s unified feedback management and Social CRM platform (Xpresso Insights) uses sophisticated technologies such as Natural Language Processing, domain specific ontologies and Machine Learning based classification over Big Data to provide organizations with actionable intelligence and insights in real-time.

Our AI powered digital assistants (Chatbots) have transformed the way personalization is done across Healthcare, Financial and Retail industries.

Worked on backend of Ware House Management Service. This service handles the crucial operations of warehouse like inventory management, picking, packing and auditing.
Used PostgreSQL as the primary database.

Tools used:
django, python( for creating apis)

FedEx

Addition

Lee Fixel

Fidelity Investments

Multiples Alternate Asset Management

Tiger Global Management

Nexus Venture Partners

Steadview

Baillie Gifford

Chimera

The Carlyle Group

SoftBank Vision Fund

Times Internet

CPP Investments

Fosun RZ Capital

Abhishek Goyal

Nitin Dhingra

Ajith Pai

Sandeep Barasia

Anjali Bansal

Srivatsan Rajan

Sandeep Kumar Barasia

Hanne Birgitte Breinbjerg Sorensen

Ada Bharati

Charul Manglani

Kanta Manglani

Kishor Manglani

Shilpi Bharati

Avendus

SoftBank Capital

Malabar Investments

Alpine Capital

RPS Ventures

Ab Initio Capital

Avaana Capital Advisors

Alpha Wave Global

Archerman Capital

Provider of end-to-end delivery and shipping solutions for e-commerce businesses. The solutions provided are last-mile delivery service, third-party and transit warehousing, reverse logistics, payment collection, vendor-to-warehouse and customer shipping, cross-border services, and more. It also provides a mobile application for tracking shipments. The application is available for both Android and iOS devices.

Provider of logistics management solutions for e-commerce businesses

We offer zero-to-one lean acceleration and innovation-as-a-service to large enterprises and early-stage startups, helping them incubate new product initiatives.  

We bring the silicon valley style operating model to the startups around US and Europe.

Our startup customers have raised over $1.2 billion and created value ~$8billion after working with us.

Our product design and engineering studios take ideas from napkin to product-market fit, rapidly and cost effectively. We work with experienced entrepreneurs and innovation leaders to offset risk and fast-track launches. As a new product incubation partner and a launch accelerator, we double your chances of success. 

We were featured as one of Deloitte Fastest 50 growing tech companies from India thrice (2016, 2018, and 2019). We were also featured in Deloitte Technology Fast 500 Asia Pacific both in 2016 and 2018. Our engineering studio has won O'Reilly's Architectural Katas event as well (Spring, 2022).

Our experienced expert team help you to prevent risk, achieve product market fit, increase odds of  success, and for sustainable growth rate of your company

NER-named entity recognition, using semi-supervised machine learning technique(ADSORPTION), with JUNTO TOOLKIT. Writing code to analyse the large data for specific use

Object Oriented Programme and Algorithms (short termcourse)