Gandra Saikrishna

Operations Associate

Hyderabad, Telangana, India8 yrs 9 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • Led a 1500-member offshore workforce across multiple BPOs.
  • Achieved 98%+ on-time project completion with strict quality SLAs.
  • Implemented Lean Six Sigma methodologies to enhance operational efficiency.
Stackforce AI infers this person is a BPO and AI Data Solutions expert with strong operational management skills.

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Skills

Core Skills

Project ManagementService Delivery ManagementTeam LeadershipOperations ManagementData AnalysisData Annotation

Other Skills

Resource ManagementProject PlanningLean ProcessesOperational ExcellenceData-driven process enhancementsRisk mitigation strategiesPerformance evaluationsTraining programsEffective communication strategiesResource AllocationRisk ManagementProcess analysisOperational efficiencyNegotiationData collection

About

Leading end-to-end product delivery for a SaaS platform, acting as the single point of contact across business, product, and engineering teams. Own the complete lifecycle from requirement intake to sprint planning, execution, and release. Collaborate with customer support, sales, and leadership (including CEO inputs) to gather requirements, identify pain points, and translate them into actionable product features and enhancements. Prioritize and manage sprint backlogs, ensuring alignment with business goals and customer impact. Drive execution across development and QA teams by defining tasks, timelines, and delivery expectations, ensuring high-quality and timely releases. Oversee sprint progress, remove blockers, and maintain accountability across teams. Actively engage with customers to understand real-world usage, collect feedback, and drive continuous product improvement. Lead UI/UX enhancements by designing user flows and interfaces, particularly for a new mobile application, focusing on usability and experience. Contribute hands-on to development as needed, building modules end-to-end and supporting implementation of key features. Mentor and train Business Analysts on requirement structuring, documentation, and product thinking. Focused on building scalable, user-centric product systems by combining strong execution, product ownership, and technical understanding.

Experience

8 yrs 9 mos
Total Experience
3 yrs
Average Tenure
5 mos
Current Experience

Autorox

Delivery Manager

Jan 2026Present · 5 mos · Hyderabad, Telangana, India · On-site

Telus digital ai data solutions

2 roles

Service Delivery Project Manager

Promoted

Jun 2025Dec 2025 · 6 mos · Bengaluru, Karnataka, India

  • Telus International AI Data Solutions | Hyderabad, India | 07 2025 – Present
  • Driving large-scale AI data projects with a focus on delivery, people leadership, and quality excellence.
  • Lead 1,100+ resources across 3 BPOs and 30 in-house team members, ensuring seamless delivery of AI data projects for global clients.
  • Oversee end-to-end project management including planning, resource allocation, risk management, and revenue/margin ownership.
  • Manage high-volume AI datasets in autonomous driving, video analysis, and NLP projects, ensuring 95%+ quality benchmarks.
  • Implement Lean Six Sigma methodologies to improve workflows, reduce rework, and optimize costs.
  • Partner with clients to align delivery with business goals, enabling trust and long-term collaboration.
  • Recognized for scaling delivery operations, achieving consistent on-time weekly outputs, and maintaining client satisfaction.
Project ManagementResource AllocationRisk ManagementService Delivery Management

Assistant Operations Manager

Jul 2022Jun 2025 · 2 yrs 11 mos · Bengaluru, Karnataka, India

  • Analyzing and improving business processes and operations, developing both to maximize customer satisfaction and support business growth in services. Increasing productivity,
  • Process analysis, Removing bottlenecks and delivering higher quality standards. Refining processes to deliver operational efficiency and a competitive advantage for the business,
  • while also increasing value for customers.
  • Self-driving cars or driverless cars
  • Software or devices with face detection security system
  • > Driving large Annotation Projects and deliver as per customer requirement.
  • > Creating, tracking & Improving strategy for End-to-End delivery of projects, attention to finer detail.
  • > Ensured 100% delivery of Varied Data factory Annotation Projects to internal Customers.
  • > Reviewing Current practices and procedures as well as improve upon to maintain Quantity as well as Quality metrics and KPIs.
  • > Reviewing team reports, regular basis, providing regular feedback towards improvement of Quality of Data factory.
  • ​* Established and executed key operational priorities with a dynamic team in a fast-paced environment to achieve critical objectives.
  • Directed new projects from draft to implementation and execution.
  • Headed a team of 50.
  • Pilot Execution with 100% Success rate for the Year.
  • Negotiating better prices with the Customer and Vendor and providing pricing inputs to acquire deals and meet the business goals.
  • Implementing operations excellence to deliver projects at scale.
  • ​* Implementing scalable processes, Developed a new supply operations model which Increased the margins from 40% trending yearly to 60-70% every year.
  • Designed employee performance metrics.
Process analysisOperational efficiencyNegotiationOperations Management

Telus technology

2 roles

Service Delivery Project Manager

Promoted

Jul 2022Present · 3 yrs 11 mos

  • Led a 1500-member offshore workforce across 3 BPOs in India and 1 BPO outside India, along with 50 in-house employees, ensuring efficient resource allocation and workforce productivity.
  • Spearheaded weekly delivery cycles, ensuring 98%+ on-time project completion and maintaining strict quality SLAs above 95%.
  • Managed multi-million-dollar revenue streams, delivering ~*30 crore (~$3.5 Million) in revenue per month for the last 6 months, with a margin of 65%.
  • Streamlined project planning and execution, reducing operational bottlenecks by 25% and improving delivery turnaround time by 20%.
  • Designed cross-functional collaboration frameworks, boosting team efficiency and aligning BPO and in-house resources towards shared objectives.
  • Implemented data-driven process enhancements, leveraging Lean Six Sigma methodologies to reduce defects by 30% and increase efficiency by 15%.
  • Consistently performed under high-pressure environments, ensuring seamless delivery despite tight deadlines and resource constraints.
  • Spearheaded mission-critical enablement sessions, successfully training 400+ personnel simultaneously across different geographic locations, delivering over 20 large-scale training cycles to ensure organizational readiness.
  • Directed comprehensive risk mitigation strategies for 25+ concurrent projects over 12 months, utilizing Microsoft Project and risk matrices to decrease project delays by 18% and sustain service level agreements above 95%.
  • Optimized workflow streamlining for a portfolio of 25+ projects over 12 months, utilizing Microsoft Project and Lean Six Sigma tools to decrease process redundancies by 22% and improve project delivery speed by 18% across multi-site teams.
Resource ManagementProject PlanningLean ProcessesOperational ExcellenceData-driven process enhancementsRisk mitigation strategies+2

Service Delivery Team Lead

Jul 2022Jun 2025 · 2 yrs 11 mos

  • Conducted regular performance evaluations for staff members, providing constructive feedback and outlining areas of improvement.
  • Developed high-performing team members through targeted training programs and one-on-one coaching.
  • Successfully completed projects within deadlines, ensuring timely delivery to clients without compromising quality standards.
  • Enhanced team performance by implementing effective communication strategies and regular feedback sessions.
  • Identified skill gaps within the team and developed comprehensive training plans to address these deficiencies effectively.
  • Ensured compliance with company policies and industry regulations by establishing robust internal control mechanisms.
Performance evaluationsTraining programsEffective communication strategiesTeam Leadership

Nvidia

2 roles

Team Lead

Promoted

Sep 2019Jul 2022 · 2 yrs 10 mos · Hyderabad, Telangana, India

  • > Expertise in Polygon Segmentation, Bounding boxes, 3D cuboid, Text annotation, Landmark annotation, Semantic Segmentation,3D point cloud annotation
  • Self-driving cars or driverless cars
  • Software or devices with face detection security system
  • > Driving large Annotation Projects and deliver as per customer requirement.
  • > Creating, tracking & Improving strategy for End-to-End delivery of projects, attention to finer detail.
  • > Ensured 100% delivery of Varied Data factory Annotation Projects to internal Customers.
  • > Reviewing Current practices and procedures as well as improve upon to maintain Quantity as well as Quality metrics and KPIs.
  • > Reviewing team reports, regular basis, providing regular feedback towards improvement of Quality of Data factory.
Data collectionMachine LearningGuideline creationData Analysis

Senior Process Executive

Sep 2017Sep 2019 · 2 yrs · Hyderabad, Telangana, India

  • Working as Process Executive (DATA FACTORY) for Nvidia India, Hyderabad through Spectrum Consultants.
  • Service Area: Technology
  • Service Line: Tech - Other
  • Technical Environment: Hatch Tool
  • Client: Nvidia Designs Graphics processing Units (GPUs) for the professional marketing and gaming, as well as system on a chip units (SOCs) for mobile computing and automotive market.
  • My project is to develop an Auto-drive machines (Automotive companies partners like Audi ,Tesla, Volkswagen ,Mercedes-Benz ,Volvo, Toyota) by using the concept of artificial intelligence with the help of DNN (Deep Neural Networking), Machine Learning with selecting data, optimizing it and classify it and providing to machine by machine learning techniques. Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Contributions:
  • Qualitative analyst to verify the data provided by the data analysts weather it is suitable for machine.
  • With the help of output graph and behavior of the machine that the data dumped in to the machine.
  • Making new guidelines for the data analysts with the help of Error rate provided by graph and machine
Polygon Segmentation3D point cloud annotationText annotationData Annotation

Education

Nalla Malla Reddy Engineering College

Bachelor of Technology - BTech — Mechanical Engineering

Aug 2013Mar 2017

Alphores Junior college

Intermediate — Mpc

Mar 2011Mar 2013

JNTUH TBI

Bachelor of Engineering

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