Shruti Mittal

- Led Requirements Gathering through UX Research & customer feedback calls, pinpointing pain points from 9+ customers. This informed the enhancements for 2 Contentstack products: Releases and Workflows - Strategic Prioritization: Aligned Feature Requirements with business goals, analysis of growth metrics and market potential, driving strategic cohesion - Competitive Edge through Analysis: Executed Comprehensive Competitve Analysis across 4+ competitors to spotlight high-impact features, enhancing competitiveness

- Collaborated seamlessly with design and engineering teams, conducted thorough market research, engineered a comprehensive product roadmap, crafted precise product requirement documents, analyzed intricate business requirements, and leveraged valuable customer feedback to develop impactful CCaaS features. - Orchestrated the delivery of personalized solutions for large-scale customers, guiding the product from discovery through User Acceptance Testing (UAT) to a successful product launch, ensuring the realization of desired business outcomes. - Secured new customers by delivering tailored product demos to prospects, effectively showcasing the product's value proposition and successfully converting them into satisfied customers.

As a part of the RFSW (Radio Frequency Software) - Calibration team, the objective was to create services to automate the calibration of mobile devices and the characterization, that is, measuring and hence automating the computation of the Tx, Rx and FbRx (Feedback loop) powers with different input parameters changing. My task was to create an Antenna Switching Diversity Characterization service, where the Transmission and Receiver powers were to be measured and later computed with respect to switching antennas(the input parameter), which is an important phenomenon to improve radio communication and increase the probability of better and more accurate reception of data packets at the receiver. The task was based on coding in C and C++.

Massive Machine-Type Communications The objective of this project is to explore the feasibility of multiplexing data using hundreds of antennas to a massive number of IoT devices that are likely to be connected to the network in 5G cellular systems. Massive connectivity deals with a large number of Internet of Things (IoT) devices (generally greater than 1 million) connected to a single cell having a finite number of antennas, of which a maximum of a certain fraction of the total devices are assumed to be active at all times owing to the sporadic nature of traffic in any coherence interval. The main study is to identify the activity of the devices and jointly estimate the channels in use, followed by performance analysis of activity detection and channel estimation by essentially measuring the probability of false alarms and missed detection.

Summer Internship 2019 with Qualcomm: The objective was to generate a Qualcomm Test Framework consisting of several virtual access points and virtual mobile stations implementing the concept of roaming, based on factors such as SSID, BSSID, preferred Channels and distance from the respective access points. The project also tested and studied the various kinds of frames that could be exchanged between the access points and the mobile stations (sniffing of packets implemented using WireShark), especially the edge case frames and unexpected frames that could result in errors, and trained the mobile stations to handle these exceptions. The project was completed and required major use of coding in C language.

To head a group of 8 Lecture Series and Pro-Nites event organizers involved in inviting eminent speakers and established personalities from all walks of life to deliver a Keynote lecture at Techniche, the annual Techno-Management festival of IIT Guwahati along with inviting and organizing performances ranging from Technical to Cultural interests for Pro-nites during Techniche.

To organize Lecture Series event for Techniche 2017, which included inviting eminent personalities to deliver a keynote lecture from a wide range of fields including Technocrats, Scientists, Astronauts, Nobel Laureates, Architects and Designers. As a part of the Pro-nites organizing team, the task was to invite and organize fun-filled and interesting technical and cultural performances during Techniche, including performers from all over the world.

Interval Type-2 and General Type-2 Approach to Affinity Propagation Devising an algorithm to apply Affinity Propagation clustering technique to Interval Type-2 and General Type-2 fuzzy sets followed by applications on image segmentation, to significantly improve the results of unsupervised clustering. Affinity Propagation(AP) is an unsupervised clustering algorithm that does not require the number of clusters to be pre-determined or estimated. AP initially considers all of its pattern points to be exemplars(that is, cluster prototypes) and evaluates a similarity matrix that measures the similarity between two points selected from the dataset. Depending on these similarities, responsibility and availability matrices are obtained, from which, the final clusters and exemplars are resulted. In case of Crisp AP, or AP using the idea of classical sets, this similarity matrix is obtained using distances. However, in real-life practical examples, fuzzy sets come into the picture and hence in my proposed algorithm, I extended this algorithm to IT2 and GT2 AP. The idea was to consider a fuzzifier denoted by β to measure the membership value of a pattern set to a particular cluster, which could now range from [0,1]. On performing type-reduction, defuzzification and hard-partition, clusters were ultimately obtained. The number of clusters could be varied and adjusted as required by varying the parameters like the damping factor and the Cluster Threshold Scalar.

Interval Type-2 and General Type-2 Approach to Possibilistic Fuzzy-C-Means Extending possibilistic fuzzy-c-means clustering algorithm to type-2 fuzzy sets to account for fuzziness in various parameters of clustering to result in better accuracy and enhanced robustness. PFCM was an improvement over previously introduced Fuzzy C Means(FCM ), Possibilistic C Means(PCM) and Fuzzy Possibilistic C Means(FPCM). PFCM produces memberships and possibilities simultaneously, along with the usual point prototypes or cluster centers for each cluster. PFCM is a hybridization of possibilistic c-means (PCM) and fuzzy c-means (FCM) that often avoids various problems of PCM, FCM, and Fuzzy Possibilistic C Means(FPCM). PFCM uses a fuzzifier denoted by m to determine the membership values and η to determine the possibilities or typicalities of a datapoint belonging to a particular cluster(which can range from [0,1] as PFCM uses type-1 fuzzy sets). In my proposed algorithm, I used a range of fuzzifiers [m1,m2] and a range of the parameter [η1,η2] to account for type-2 fuzziness.These ranges resulted in a range of membership vales and possibility values, which was taken as a uniform distribution in case of IT2 PFCM and as a particular secondary grade membership function in GT2 PFCM. On performing type-reduction using EIASC algorithm, defuzzification and hard-partition, desired clusters were obtained.

-Evolution of Wireless technology from 2G, 3G, 4G and now 5G networks. -Parameters used to design an RF network for a Geography, such as coverage, throughput, Capacity and clutter in terms of urban/suburban/rural areas -Interference mitigation techniques and related link budgets. -Techniques for larger throughput and coverage such as MIMO and Beamforming by way of multiple antennas -Internet Protocol: OSI Layers, TCP/ IP, LAN, WAN, IPv4, IPv6, Routing Protocols (EIGRP, OSPF, BGP, RIP), Switching, VLANs, ACL, NAT -Transmission: SDH, PDH, Pulse Code Modulation, E1 frames, T Frames

OBP-Dev Team REST Service Generator : The purpose of this utility is to generate a REST Facade around the OBP Framework to expose OBP Application Services as REST API, complying to the Principles of the REST Architectural Style. This utility was developed using JSON.simple (Apache) libraries to parse and retrieve JSON information from the REST Resource Configurations and using JavaParser ( an Abstract Syntax Tree (AST) parser) for Java code generation. Additionally, it involved dynamic generation of JSON configuration for Swagger Documentation based on the REST Resource Configurations.

Engineering Courses: Entrepreneurial Engineering, Networks in the Real World, Computational Problem Solving, Modern Computer Systems, Building Reliable Distributed Systems Product Courses: Management of Research, Development and Innovation, Launching New Products, Pricing Strategy for Products and Services, Agile Methodologies, UX Research, Data Analytics with Tableau, Negotiation, A/B Testing

Key courses taken: Information Theory and Coding, Communication Networks, Electromagnetic Theory, Pattern Recognition and Machine Learning, Computer Architecture, MIMO Wireless Systems, Microwave Engineering, Microwave Engineering Lab, Fundamentals of VLSI CAD, Data Structures and Algorithms; Analog Integrated Circuits; Digital Signal Processing; Digital Circuits and Microprocessors(with laboratory); Linear Algebra; Introduction to VLSI (with Laboratory); Communication Systems (with Laboratory); Real and Complex Analysis; Probability and Random Process; Principles of Communication; Measurement and Instrumentation; Signals and Systems; Semiconductor Devices; Theoretical Foundations of Computer Science; Calculus; Differential Equations, Control Systems; Digital Signal Processing.