Ashutosh Nikam

CEO

Bengaluru, Karnataka, India4 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Key contributor to network programmability solutions at Cisco.
Ranked in top 2.34% on LeetCode, showcasing coding expertise.
Developed innovative solutions for media analytics at Hotstar.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with experience in Networking and Media Analytics.

Contact

Skills

Core Skills

Software Defined NetworkingNetwork AutomationDynamic Host Configuration Protocol (dhcp)Data ManagementData ProcessingMachine Learning

Other Skills

C (Programming Language)Code ReviewYANG (Yet Another Next Generation)Apache KafkaPrometheusPythonRedisScalaApache SparkTensorFlowStochastic OptimizationLarge Language Models (LLM)AlgorithmsData StructuresObject-Oriented Programming (OOP)

About

I have a Bachelors + Masters (Dual) degree in Electrical, Electronics and Communications Engineering from Indian Institute of Technology, Madras. I am currently working as a Software Development Engineer 3 (SDE 3) at Cisco, working on next generation of network programmability solutions. As an SDE 3 at Cisco, I am a key contributor to an ongoing initiative aimed at automating the modelling of Southbound APIs for Software Defined Networking (SDN) applications, compatible with conventional IOS-XE CLI interface. I have also delivered and supported various features and functionalities related to DHCP, SZTP, and serviceability for IOS-XE programmability. I have collaborated with cross-functional teams, addressing day-0 defects and customer escalations across Wireless, Switching, and Broadband domains. I have also worked as a software development intern at Disney+Hotstar, where I built a data versioning library, an analytics-data-exporter service, and a spark-based-data-processor using Python and Scala. When I'm not building solutions, I sharpen my problem-solving skills through competitive coding. I rank in the top 2.34% on LeetCode and hold a 4-star rating (peak rating of 1890) on CodeChef, demonstrating my ability to tackle complex coding challenges efficiently. I am passionate about solving complex problems and creating innovative solutions using innovative technologies. I value teamwork, learning, and excellence, and I can bring diverse perspectives and experiences to the team.

Experience

4 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs

Current Experience

Oracle

IC3

Jun 2024 – Present · 2 yrs · Greater Bengaluru Area · Hybrid

Individual contributor @OCI virtual cloud networking

Cisco

2 roles

SDE 3

Sep 2023 – Jun 2024 · 9 mos · Bengaluru, Karnataka, India

Key contributor to an ongoing initiative aimed at automating the modelling of
Southbound APIs for SDN applications, compatible with conventional IOS-XE CLI
interface.

C (Programming Language)Code ReviewSoftware Defined NetworkingNetwork Automation

SDE 2

Aug 2021 – Sep 2023 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Delivered DHCP feature support for SZTP(RFC 8572), DHCP Relay fail-over detection,
and Daisy-chain deployment provisioning with 100% quality.
Collaborated with cross-functional teams, addressing day-0 defects and customer
escalations related to DHCP functionalities across Wireless, Switching, and Broadband
domains.
Contributed to configuration and operational model development for IOS-XE
programmability.
Engineered range of serviceability features for IOS-XE like FSM Analytics,
programmable packet capture, and execution timing framework.

C (Programming Language)YANG (Yet Another Next Generation)Dynamic Host Configuration Protocol (DHCP)Software Defined Networking

Hotstar

Software Development Intern

Apr 2020 – Jun 2020 · 2 mos · Bengaluru, Karnataka · Remote

Built a general-purpose Data Versioning library with distributed storage (Redis) support using Python to track changes in dynamic data. Achieved 92% data savings on the Scorecard Data use case.
Worked in a team of 2 to develop an Analytics-data-exporter service using Python to allow for more flexible alerting. Reduced the alerting delay from 1 hr to 5mins , and allowed alerts to be set on 30 times more data.
Worked in a team of 2 to build a Spark-based-data-processor using Scala to aggregate and process data from Kafka topics directly (an improvement over project 2)

Apache KafkaPrometheus

Adobe

Machine Learning Research Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India · On-site

Worked in a team of 3 to develop a stochastic optimization algorithm in Python, to generate targeted and imperceptible adversarial attacks on Black-Box Speech recognition models . The proposed algorithm achieved 86% success rate.
Developed a fast testbed platform using Tensorflow to test and evaluate various algorithms efficiently. Achieved a speedup by a factor of 20 times .
Conducted a thorough survey and brainstormed 80+ project ideas under the theme of 'Synthetic Data Generation', decided on the final project topic and defended its utility.

TensorFlowStochastic Optimization

Center of excellence in wireless and information technolog cewit

Project Intern

May 2018 – Jul 2018 · 2 mos · Chennai, Tamil Nadu, India · On-site

- Worked in a team of two, to study and implement Encoding and Decoding pipelines for Physical Uplink Control Channel(PUCCH) and Physical Broadcast Channel(PBCH) as per 3GPP standards in C/C++.